TU Wien Informatics

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Algorithms and Complexity Artifact-based Computing and User Research Artificial Intelligence Techniques Automation Systems Business Informatics Compilers and Languages Computer Graphics Computer Vision Cyber-Physical Systems Data Science Databases and Artificial Intelligence Distributed Systems Embedded Computing Systems Formal Methods in Systems Engineering Human Computer Interaction Knowledge-Based Systems Machine Learning Parallel Computing Privacy Enhancing Technologies Security and Privacy Software Engineering Theory and Logic Virtual and Augmented Reality Visual Analytics

Virtual and Augmented Reality E193-03

  • A Research Unit of The Institute of Visual Computing and Human-Centered Technology

The scientific areas of our unit are Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR). We conduct basic and application oriented research in a wide range of fields associated with VR/AR.

Research Unit Virtual and Augmented Reality

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The scientific areas of our unit are Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR). We conduct basic and application oriented research in a wide range of fields associated with VR/AR.

AR, VR and MR technologies and systems are more and more used in different applications: industry (virtual prototyping), entertainment (videogames), art (cultural heritage), medicine (rehabilitation) and education (training). The objective is to provide the most immersive experience to users when they interact with a Virtual Environment. Our motivation is to improve AR/VR/MR systems by considering the whole interaction loop: we consider multiple user inputs to provide efficient interactions, but also consider multiple sensory feedback outputs to improve users’ immersion in VEs.

We focus in particular on the following research areas:

  • 3D interaction in virtual environments (locomotion, haptic feedback, avatars)
  • 3D large-scale collaborative systems with multiple users: AR/VR/MR systems for training, education, rehabilitation and other application areas
  • Rendering and viewing in MR systems, including tracking, motion capture, 3D reconstruction of VEs, high quality rendering for AR etc.
  • Human perception in virtual environments e.g. spatial understanding, human motion, embodiment and agency.

In the past we conducted projects on industrial high precision tracking solutions, physical rehabilitation, safety of fire fighters, high school science education in VR, prosthetics, and many more. Please see the list of current and past projects. In addition to basic research projects, we focus on innovative applications of VR/AR technology which are beneficial to society.

The research Unit Virtual and Augmented Reality is part of the Institute of Visual Computing and Human-Centered Technology.

Horst Eidenberger
Horst Eidenberger H. Eidenberger

Associate Professor
Ao.Univ.Prof. Mag. Dr.

Hannes Kaufmann
Hannes Kaufmann H. Kaufmann

Head of Research Unit
Univ.Prof. Mag. Dr.

Christian Breiteneder
Christian Breiteneder C. Breiteneder

Retired Professor
Univ.Prof.i.R. DI Dr.

Walter Kropatsch
Walter Kropatsch W. Kropatsch

Emerit. Professor
Em.O.Univ.Prof. DI Dr.

Matteo Bosco
Matteo Bosco M. Bosco

PreDoc Researcher
Mag.

Hugo Brument
Hugo Brument H. Brument

PostDoc Researcher
PhD

Francesco De Pace
Francesco De Pace F. De Pace

PostDoc Researcher
Dr.

Soroosh Dini-Mortezapoor
Soroosh Dini-Mortezapoor S. Dini-Mortezapoor

PreDoc Researcher
DI

Mohammad Ghazanfari
Mohammad Ghazanfari M. Ghazanfari

PreDoc Researcher
MSc

Peter Kan
Peter Kan P. Kan

Senior Scientist
Mag. Dr.

Tom Lautenbach
Tom Lautenbach T. Lautenbach

PreDoc Researcher
DI

Diana Marin
Diana Marin D. Marin

PreDoc Researcher
BSc ME

Christian Schönauer
Christian Schönauer C. Schönauer

PostDoc Researcher / On Leave
DI Dr.

Khrystyna Vasylevska
Khrystyna Vasylevska K. Vasylevska

PreDoc Researcher
BSc MSc

Emanuel Vonach
Emanuel Vonach E. Vonach

PreDoc Researcher
DI Mag. / BSc

Johannes Fromm
Johannes Fromm J. Fromm

IT Services

Ülkühan Kacmaz
Ülkühan Kacmaz UE. Kacmaz

Office Services

Victor Mittermair
Victor Mittermair V. Mittermair

Student Staff
BSc

Karyn Laudisi
Karyn Laudisi K. Laudisi

Lecturer
MA

Alexander Pacha
Alexander Pacha A. Pacha

Lecturer
Dr. / MSc

2024W

2025S

 

2024

2023

2022

2021

2020

2019

2018

  • Line voronoi diagrams using elliptical distances / Gabdulkhakova, A., Langer, M., Langer, B., & Kropatsch, W. (2018). Line voronoi diagrams using elliptical distances. In Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings. Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-319-97785-0_25
  • Tracking Golden-Collared Manakins in the Wild / Gostler, A., Artner, N., Kropatsch, W., & Fusani, L. (2018). Tracking Golden-Collared Manakins in the Wild. ICPR2018 24th International Conference on Pattern Recognition/Workshop Visual observation and analysis of Vertebrate And Insect Behavior (VAIB 2018), Bejing, China, Non-EU. http://hdl.handle.net/20.500.12708/86759
  • Confocal ellipse-based distance and confocal elliptical field for polygonal shapes / Gabdulkhakova, A., & Kropatsch, W. (2018). Confocal ellipse-based distance and confocal elliptical field for polygonal shapes. 23rd Computer Vision Winter Workshop (CVWW), Český Krumlov, Czech Republic, EU. http://hdl.handle.net/20.500.12708/86741
  • Confocal Ellipse-based Distance and Confocal Elliptical Field for Polygonal Shapes. / Gabdulkhakova, A., & Kropatsch, W. (2018). Confocal Ellipse-based Distance and Confocal Elliptical Field for Polygonal Shapes. In IAPR/ICPR 2018 International Conference on Pattern Recognition (pp. 3025–3030). IEEE Computer Society. http://hdl.handle.net/20.500.12708/57535
  • Segmentation Edit Distance / Pucher, D., & Kropatsch, W. (2018). Segmentation Edit Distance. In IAPR/ICPR 2018 International Conference on Pattern Recognition (pp. 1175–1185). IEEE Computer Society. http://hdl.handle.net/20.500.12708/57534

2017

2016

  • Detecting Ellipses in Elongated Shapes Using the Thickness Profile / Gabdulkhakova, A., & Kropatsch, W. G. (2016). Detecting Ellipses in Elongated Shapes Using the Thickness Profile. In Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings (pp. 412–423). Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-319-49055-7_37
  • A Novel Concept for Smart Camera Image Stitching / Banaeyan, M., Huber, H., Kropatsch, W., & Barth, R. (2016). A Novel Concept for Smart Camera Image Stitching. In L. Cehovin, R. Mandeljc, & V. Struc (Eds.), Proceedings of the 21st Computer Vision Winter Workshop (p. 9). Slovenian Pattern Recognition Society. http://hdl.handle.net/20.500.12708/56597
  • Train Detection and Tracking in Optical Time Domain Reflectometry (OTDR) Signals / Papp, A., Wiesmeyr, C., Litzenberger, M., Garn, H., & Kropatsch, W. (2016). Train Detection and Tracking in Optical Time Domain Reflectometry (OTDR) Signals. Pattern Recognition, 320–331. https://doi.org/10.1007/978-3-319-45886-1_26
  • A real-time algorithm for train position monitoring using optical time-domain reflectometry / Papp, A., Wiesmeyr, C., Litzenberger, M., Garn, H., & Kropatsch, W. (2016). A real-time algorithm for train position monitoring using optical time-domain reflectometry. In 2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT). 2016 IEEE International Conference on Intelligent Rail Transportation, Birmingham, UK, EU. IEEE. https://doi.org/10.1109/icirt.2016.7588715
  • Topological Attribute Patterns for texture recognition / Nguyen, T. P., Manzanera, A., Kropatsch, W. G., & Nguyen, X. S. (2016). Topological Attribute Patterns for texture recognition. Pattern Recognition Letters, 80, 91–97. https://doi.org/10.1016/j.patrec.2016.06.003
  • Topology-based image segmentation using LBP pyramids / Cerman, M., Janusch, I., Gonzalez-Diaz, R., & Kropatsch, W. G. (2016). Topology-based image segmentation using LBP pyramids. Machine Vision and Applications, 27(8), 1161–1174. https://doi.org/10.1007/s00138-016-0795-1
  • A framework for the extraction of quantitative traits from 2d images of mature Arabidopsis thaliana / Augustin, M., Haxhimusa, Y., Busch, W., & Kropatsch, W. G. (2016). A framework for the extraction of quantitative traits from 2d images of mature Arabidopsis thaliana. Machine Vision and Applications, 27(5), 647–661. https://doi.org/10.1007/s00138-015-0720-z
  • Robustness Diagram with Loop and Time Controls For System Modelling and Scenario Extraction with Energy System Applications / Malinao, J., Judex, F., Selke, T., Zucker, G., Adorna, H., Caro, J., & Kropatsch, W. (2016). Robustness Diagram with Loop and Time Controls For System Modelling and Scenario Extraction with Energy System Applications. Energy Procedia, 88, 537–543. https://doi.org/10.1016/j.egypro.2016.06.075
  • Shape Normalizing and Tracking Dancing Worms / Sansone, C., Pucher, D., Artner, N., Kropatsch, W., Saggese, A., & Vento, M. (2016). Shape Normalizing and Tracking Dancing Worms. In A. Robles-Kelly, M. Loog, B. Biggio, F. Escolano, & R. Wilson (Eds.), Structural, Syntactic, and Statistical Pattern Recognition (pp. 390–400). Structural, Syntactic, and Statistical Pattern Recognition, Springer International. https://doi.org/10.1007/978-3-319-49055-7_35
  • Shape Classification According to LBP Persistence of Critical Points / Janusch, I., & Kropatsch, W. (2016). Shape Classification According to LBP Persistence of Critical Points. In N. Normand, J. Guédon, & F. Autrusseau (Eds.), Discrete Geometry for Computer Imagery (pp. 166–177). Lecture Notes in Computer Science - Springer, Berlin Heidelberg. https://doi.org/10.1007/978-3-319-32360-2_13
  • Manifold Representation of Fabric: A Challenging Task? / Stria, J., Janusch, I., Artner, N., Hlavac, V., & Kropatsch, W. (2016). Manifold Representation of Fabric: A Challenging Task? 21st Computer Vision Winter Workshop (CVWW2016), Rimske Toplice, Slovenia, EU. http://hdl.handle.net/20.500.12708/86345
  • A concept for shape representation with linked local coordinate systems / Kaindl, M., & Kropatsch, W. (2016). A concept for shape representation with linked local coordinate systems. In L. Cehovin, R. Mandeljc, & V. Struc (Eds.), Proceedings of the 21st Computer Vision Winter Workshop (p. 9). Slovenian Pattern Recognition Society. http://hdl.handle.net/20.500.12708/54450
  • Noise Robustness of Irregular Graph Pyramids using LBP and Combinatorial Maps / Körner, C., Janusch, I., & Kropatsch, W. (2016). Noise Robustness of Irregular Graph Pyramids using LBP and Combinatorial Maps. In K. Niel & W. Burger (Eds.), Vision Meets Robotics, Proceedings of the ÖAGM Workshop 2016 (pp. 101–108). http://hdl.handle.net/20.500.12708/56605
  • Persistence Based on LBP Scale Space / Janusch, I., & Kropatsch, W. G. (2016). Persistence Based on LBP Scale Space. In J.-L. Mari & A. Bac (Eds.), Computational Topology in Image Context (pp. 240–252). Lecture Notes in Computer Science, Springer-Verlag New York, Inc. New York, NY, USA ©2016. https://doi.org/10.1007/978-3-319-39441-1_22
  • Shape Classification according to LBP Persistence of Critical Points / Janusch, I., & Kropatsch, W. (2016). Shape Classification according to LBP Persistence of Critical Points. In Proceedings of the 21st Computer Vision Winter Workshop (p. 12). Slovenian Pattern Recognition Society. http://hdl.handle.net/20.500.12708/56599
  • 2d tracking of platynereis dumerilii worms during spawning / Pucher, D., Artner, N., & Kropatsch, W. (2016). 2d tracking of platynereis dumerilii worms during spawning. In L. Cehovin, R. Mandeljc, & V. Struc (Eds.), Proceedings of the 21st Computer Vision Winter Workshop (p. 9). Slovenian Pattern Recognition Society. http://hdl.handle.net/20.500.12708/56596

2015

2014

  • Comparison of three-dimensional surface-imaging systems / Tzou, C.-H. J., Artner, N. M., Pona, I., Hold, A., Placheta, E., Kropatsch, W. G., & Frey, M. (2014). Comparison of three-dimensional surface-imaging systems. JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 67(4), 489–497. https://doi.org/10.1016/j.bjps.2014.01.003
  • Graph-based point drift: Graph centrality on the registration of point-sets / de Sousa, S., & Kropatsch, W. G. (2014). Graph-based point drift: Graph centrality on the registration of point-sets. Pattern Recognition, 48(2), 368–379. https://doi.org/10.1016/j.patcog.2014.06.011
  • Video analysis of a snooker footage based on a kinematic model / Gabdulkhakova, A., & Kropatsch, W. G. (2014). Video analysis of a snooker footage based on a kinematic model. In Structural, Syntactic, and Statistical Pattern Recognition (pp. 223–232). Springer. https://doi.org/10.1007/978-3-662-44415-3_23
  • Object Tracking based on Features and Structures / Artner, N., & Kropatsch, W. (2014). Object Tracking based on Features and Structures. Features and Structures (FEAST 2014), Stockholm, Schweden, EU. http://hdl.handle.net/20.500.12708/85911
  • Longitudinal Diffeomorphic Fetal Brain Atlas Learning For Tissue Labeling Using Geodesic Regression And Graph Cuts / Licandro, R., Schwartz, E., Langs, G., & Sablatnig, R. (2014). Longitudinal Diffeomorphic Fetal Brain Atlas Learning For Tissue Labeling Using Geodesic Regression And Graph Cuts. Medical Imaging Summer School 2014, Favignana, Sizilien, Italien, EU. http://hdl.handle.net/20.500.12708/85904
  • Topological Image Analysis and Reeb Graph Representations for Plant Phenotyping / Janusch, I., Kropatsch, W., & Busch, W. (2014). Topological Image Analysis and Reeb Graph Representations for Plant Phenotyping. 1st Viennese Plant Phenotyping Workshop, Wien, Austria. http://hdl.handle.net/20.500.12708/85901
  • Characterizing configurations of critical points through lbp. / González-Díaz, R., Kropatsch, W., Cerman, M., & Lamar, J. (2014). Characterizing configurations of critical points through lbp. In D. M. Onchis & P. Real Jurado (Eds.), Proceedings of the 5th International Workshop on Computational Topology in Image Context 2014 (p. 4). Proceedings of the 5th International Workshop on Computational Topology in Image Context 2014. http://hdl.handle.net/20.500.12708/55280
  • Topological image analysis and (normalised) representations for plant phenotyping / Janusch, I., Kropatsch, W., & Busch, W. (2014). Topological image analysis and (normalised) representations for plant phenotyping. In D. M. Onchis & P. Real Jurado (Eds.), Proceedings of the 5th International Workshop on Computational Topology in Image Context, CTIC2014 (p. 8). Proceedings of the 5th International Workshop on Computational Topology in Image Context 2014. http://hdl.handle.net/20.500.12708/55279
  • Image-based phenotyping of the mature arabidopsis shoot system / Augustin, M., Haxhimusa, Y., Busch, W., & Kropatsch, W. (2014). Image-based phenotyping of the mature arabidopsis shoot system. In S. A. Tsaftaris & H. Scharr (Eds.), Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP) (p. 16). Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP). http://hdl.handle.net/20.500.12708/55278
  • Representing roots on the basis of reeb graphs in plant phenotyping / Janusch, I., Kropatsch, W., Busch, W., & Ristova, D. (2014). Representing roots on the basis of reeb graphs in plant phenotyping. In S. A. Tsaftaris & H. Scharr (Eds.), Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP) (p. 14). Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP). http://hdl.handle.net/20.500.12708/55277
  • Impact of topology-related attributes from local binary patterns on texture classification / Nguyen, T. P., Manzanera, A., & Kropatsch, W. (2014). Impact of topology-related attributes from local binary patterns on texture classification. In A. Hadid, J.-L. Dugelay, & S. Z. Li (Eds.), Proceedings of the 2nd Intl. Workshop on Computer Vision With Local Binary Pattern Variants (ECCV’14) (p. 14). Proceedings of the 2nd Intl. Workshop on Computer Vision With Local Binary Pattern Variants (ECCV’14). http://hdl.handle.net/20.500.12708/55275
  • Canonical Encoding of the Combinatorial Pyramid / Torres Garcia, F., & Kropatsch, W. (2014). Canonical Encoding of the Combinatorial Pyramid. In Z. Kúkelová & J. Heller (Eds.), Proceedings of the 19th Computer Vision Winter Workshop 2014 (pp. 118–125). Proceedings of the 19th Computer Vision Winter Workshop 2014. http://hdl.handle.net/20.500.12708/55274
  • Reeb graph based examination of root development / Janusch, I., Kropatsch, W., & Busch, W. (2014). Reeb graph based examination of root development. In Z. Kúkelová & J. Heller (Eds.), Proceedings of the 19th Computer Vision Winter Workshop 2014 (pp. 43–50). Proceedings of the 19th Computer Vision Winter Workshop 2014. http://hdl.handle.net/20.500.12708/55273

2013

  • Structural Cues in 2D Tracking: Edge Lengths vs. Barycentric Coordinates / Artner, N., & Kropatsch, W. (2013). Structural Cues in 2D Tracking: Edge Lengths vs. Barycentric Coordinates. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (pp. 503–512). Springer. https://doi.org/10.1007/978-3-642-41827-3_63
  • Three-Dimensional surface-imaging systems. / Tzou, C.-H. J., Artner, N., Kropatsch, W., & Frey, M. (2013). Three-Dimensional surface-imaging systems. Plastic and Reconstructive Surgery, 131(4), 668e–670e. https://doi.org/10.1097/prs.0b013e3182827abe
  • Estimation of Distribution Algorithm for the Max-Cut Problem / de Sousa, S., Haxhimusa, Y., & Kropatsch, W. (2013). Estimation of Distribution Algorithm for the Max-Cut Problem. In Graph-Based Representations in Pattern Recognition 9th IAPR-TC-15 International Workshop, GbRPR 2013, Vienna, Austria, May 15-17, 2013, Proceedings. GbR 2013, 9th IAPR - TC-15 Workshop, Wien, Austria. Lecture Notes in Computer Science, Volume 7877, Springer-Verlag. https://doi.org/10.1007/978-3-642-38221-5
  • Special issue on computer analysis of images and patterns / Real, P., & Kropatsch, W. (2013). Special issue on computer analysis of images and patterns. Pattern Recognition Letters, 34(8), 831–832. http://hdl.handle.net/20.500.12708/155438
  • Crypts detection in microscopic images using hierarchical structures / Smochina, C., Manta, V., & Kropatsch, W. (2013). Crypts detection in microscopic images using hierarchical structures. Pattern Recognition Letters, 34(8), 934–941. http://hdl.handle.net/20.500.12708/155434
  • Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images / Dvořák, P., Kropatsch, W. G., & Bartušek, K. (2013). Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images. Measurement Science Review, 13(5), 223–230. https://doi.org/10.2478/msr-2013-0034
  • Video Object Segmentation by Salient Segment Chain Composition / Ion, A., Banica, D., Agape, A., & Sminchisescu, C. (2013). Video Object Segmentation by Salient Segment Chain Composition. International Journal of Computer Vision, 1, 1–8. http://hdl.handle.net/20.500.12708/155556
  • The effect of airflow on thermographically determined temperature of the distal forelimb of the horse / Westermann, S., Stanek, C., Schramel, J. P., Ion, A., & Buchner, H. H. (2013). The effect of airflow on thermographically determined temperature of the distal forelimb of the horse. Equine Veterinary Journal, 45(5), 637–641. http://hdl.handle.net/20.500.12708/156075
  • Localizing and Segmenting Objects with 3D Objectness. / Aldoma, A., Tombari, F., Kropatsch, W., & Vincze, M. (2013). Localizing and Segmenting Objects with 3D Objectness. In W. Kropatsch, F. Torres Garcia, & G. Ramachandran (Eds.), Proceedings of the 18th Computer Vision Winter Workshop 2013 (pp. 86–93). Prip 186/3. http://hdl.handle.net/20.500.12708/54742
  • Pathological Area Detection in MR Images of Brain / Dvorak, P., Kropatsch, W., & Bartusek, K. (2013). Pathological Area Detection in MR Images of Brain. Elektrorevue, 4(1), 17–21. http://hdl.handle.net/20.500.12708/155440
  • Real Time Modeling of Finger Segments / de Sousa, S., & Ernst, J. (2013). Real Time Modeling of Finger Segments. Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/85749
  • Surface Completion of Head via Low-rank Decomposition / de Sousa, S., & Kropatsch, W. (2013). Surface Completion of Head via Low-rank Decomposition. International Computer Vision Summer School 2013, Italy, Calabria, Austria. http://hdl.handle.net/20.500.12708/85742
  • Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition / Ion, A., Carreira, J., & Sminchisescu, C. (2013). Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition. In International Journal of Computer Vision (pp. 40–57). Springer Science+Business Media New York 2013. https://doi.org/10.1007/s11263-013-0663-7
  • Automatic Detection of Brain Tumors in MR Images / Dvorak, P., Kropatsch, W., & Bartusek, K. (2013). Automatic Detection of Brain Tumors in MR Images. In Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP) (pp. 577–580). http://hdl.handle.net/20.500.12708/54763
  • Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding / Dvorak, P., Bartusek, K., & Kropatsch, W. (2013). Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding. In Proceedings of PIERS 2013 (pp. 936–939). http://hdl.handle.net/20.500.12708/54762
  • On the Evaluation of Graph Centrality for Shape Matching / de Sousa, S., Artner, N., & Kropatsch, W. (2013). On the Evaluation of Graph Centrality for Shape Matching. In Graph-based Representations in Pattern Recognition, 9th IAPR - TC-15 Workshop (pp. 204–213). Lecture Notes in Computer Science, Volume 7877, Springer-Verlag. http://hdl.handle.net/20.500.12708/54761
  • Logical Layout Recovery: approach for graphic-based features. / Gabdulkhakova, A., Hassan, T., & Kropatsch, W. (2013). Logical Layout Recovery: approach for graphic-based features. In W. Kropatsch, F. Torres Garcia, & G. Ramachandran (Eds.), Proceedings of the 18th Computer Vision Winter Workshop 2013 (pp. 47–54). Prip 186/3. http://hdl.handle.net/20.500.12708/54741
  • Detection of Brain Tumors Based on Automatic Symmetry Analysis / Dvorak, P., & Kropatsch, W. (2013). Detection of Brain Tumors Based on Automatic Symmetry Analysis. In W. Kropatsch, F. Torres Garcia, & G. Ramachandran (Eds.), Proceedings of the 18th Computer Vision Winter Workshop 2013 (pp. 24–31). PRIP. http://hdl.handle.net/20.500.12708/54740
  • Top-down 3D Tracking and Pose Estimation of a Die Using Check-points / Torres Garcia, F., & Kropatsch, W. (2013). Top-down 3D Tracking and Pose Estimation of a Die Using Check-points. In W. Kropatsch, F. Torres Garcia, & G. Ramachandran (Eds.), Proceedings of the 18th Computer Vision Winter Workshop (pp. 102–109). Prip 186/3. http://hdl.handle.net/20.500.12708/54499
  • A mixed integer model for the stamina-aware sightseeing tour problem / Hu, B., Ölz, W., & Raidl, G. (2013). A mixed integer model for the stamina-aware sightseeing tour problem. In Extended Abstracts of the 14th International Conference on Computer Aided Systems Theory (pp. 200–202). http://hdl.handle.net/20.500.12708/55028
  • Sparse Point Cloud Densification by Combining Multiple Segmentation Methods / Hödlmoser, M., Micusik, B., & Kampel, M. (2013). Sparse Point Cloud Densification by Combining Multiple Segmentation Methods. In 2013 International Conference on 3D Vision. International Conference on 3D Vision (3DV), Seattle, USA, Non-EU. IEEE. https://doi.org/10.1109/3dv.2013.64
  • Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests / Hödlmoser, M., Micusik, B., Pollefeys, M., Liu, M. Y., & Kampel, M. (2013). Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests. In 2013 International Conference on 3D Vision. International Conference on 3D Vision (3DV), Seattle, USA, Non-EU. IEEE. https://doi.org/10.1109/3dv.2013.63
  • Surface Layout Estimation Using Multiple Segmentation Methods and 3D Reasoning / Hödlmoser, M., & Micusik, B. (2013). Surface Layout Estimation Using Multiple Segmentation Methods and 3D Reasoning. In Pattern Recognition and Image Analysis (pp. 41–49). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-38628-2_5
  • Graph-Based Representations in Pattern Recognition / Graph-Based Representations in Pattern Recognition. (2013). In W. Kropatsch, N. Artner, Y. Haxhimusa, & X. Jiang (Eds.), Lecture Notes in Computer Science. Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-38221-5
  • Proceedings of the 18th Computer Vision Winter Workshop 2013 / Kropatsch, W., Torres Garcia, F., & Ramachandran, G. (Eds.). (2013). Proceedings of the 18th Computer Vision Winter Workshop 2013. PRIP, TU Wien. http://hdl.handle.net/20.500.12708/23712

2012

  • Evolution of the 3-Dimensional Video System for Facial Motion Analysis: Ten Years' Experiences and Recent Developments / Tzou, C.-H. J., Pona, I., Placheta, E., Hold, A., Michaelidou, M., Artner, N., Kropatsch, W., Gerber, H., & Frey, M. (2012). Evolution of the 3-Dimensional Video System for Facial Motion Analysis: Ten Years’ Experiences and Recent Developments. Annals of Plastic Surgery, 69(2), 173–185. https://doi.org/10.1097/sap.0b013e3182223d96
  • Interactive Labeling of Image Segmentation Hierarchies / Zankl, G., Haxhimusa, Y., & Ion, A. (2012). Interactive Labeling of Image Segmentation Hierarchies. In Pattern Recognition Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings (pp. 11–20). Springer. https://doi.org/10.1007/978-3-642-32717-9_2
  • Searching high order invariants in Computer Imagery / Berciano, A., Molina-Abril, H., & Real, P. (2012). Searching high order invariants in Computer Imagery. Applicable Algebra in Engineering, Communication and Computing, 23(1–2), 17–28. https://doi.org/10.1007/s00200-012-0169-5
  • On the search of optimal reconstruction resolution / Vuçini, E., & Kropatsch, W. G. (2012). On the search of optimal reconstruction resolution. Pattern Recognition Letters, 33(11), 1460–1467. https://doi.org/10.1016/j.patrec.2011.10.006
  • Homological optimality in Discrete Morse theory through chain homotopies / Molina-Abril, H., & Real, P. (2012). Homological optimality in Discrete Morse theory through chain homotopies. Pattern Recognition Letters, 33(11), 1501–1506. https://doi.org/10.1016/j.patrec.2012.01.014
  • Homological Spanning Forest framework for 2D image processing / Molina-Abril, H., & Real, P. (2012). Homological Spanning Forest framework for 2D image processing. Annals of Mathematics and Artificial Intelligence, 64(4), 385–409. https://doi.org/10.1007/s10472-012-9297-7
  • Top-Down Tracking and Estimating 3D Pose of a Die / Torres, F., & Kropatsch, W. (2012). Top-Down Tracking and Estimating 3D Pose of a Die. In G. Gimel’farb, E. Hancock, A. Imiya, A. Kuijper, M. Kudo, S. Omachi, T. Windeatt, & K. Yamada (Eds.), Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR) (pp. 492–500). Springer 2012. https://doi.org/10.1007/978-3-642-34166-3_54
  • Artificial Visual Attention Using Combinatorial Pyramids / Antunez, E., Haxhimusa, Y., Marfill, R., Kropatsch, W., & Banderas, A. J. (2012). Artificial Visual Attention Using Combinatorial Pyramids. In J. Rodriguez-Garcia & M. Cazorla (Eds.), Robotic Vision: Technologies for Machine Learning and Vision Applications (pp. 437–455). IGI Global. https://doi.org/10.4018/978-1-4666-2672-0.ch022
  • Semi-automatic Tracking of Markers in Facial Palsy / Limbeck, P., Kropatsch, W., & Haxhimusa, Y. (2012). Semi-automatic Tracking of Markers in Facial Palsy. In 21st International Conference on Pattern Recognition (pp. 69–72). http://hdl.handle.net/20.500.12708/54285
  • Image Processing and Analysis with Graphs: Theory and Practice / Brun, L., & Kropatsch, W. (2012). Image Processing and Analysis with Graphs: Theory and Practice. In O. Lézoray & L. Grady (Eds.), Image Processing and Analysis with Graphs: Theory and Practice Image Processing and Analysis with Graphs: Theory and Practice (pp. 305–349). CRC Press. http://hdl.handle.net/20.500.12708/27708
  • Maschinelle Verarbeitung von Digitalisaten - Stand der Technik und Forschungsrichtungen / Hassan, T. (2012). Maschinelle Verarbeitung von Digitalisaten - Stand der Technik und Forschungsrichtungen. In Schnittstelle: Von der Digitalisierungsidee zur digitalen Bibliothek Wege für Museen, Bibliotheken und Archive in die Europeana. Schnittstelle: Von der Digitalisierungsidee zur digitalen Bibliothek Wege für Museen, Bibliotheken und Archive in die Europeana, 1080 Wien, Don Juan Archiv, Austria. http://hdl.handle.net/20.500.12708/54339
  • Initializing 3D Model-based Tracking of Dice / Torres Garcia, F., Kropatsch, W., & Artner, N. (2012). Initializing 3D Model-based Tracking of Dice. In 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP) (pp. 338–341). http://hdl.handle.net/20.500.12708/54281
  • Digitalisierung und Erfassung von Theaterzettelsammlungen - Eine technische Standortbestimmung / Göbel, M. C. (2012). Digitalisierung und Erfassung von Theaterzettelsammlungen - Eine technische Standortbestimmung. Schnittstelle: Theater-Sammlungen, Portale/Profile/Erschließung/Provenienz, 1080 Wien, Don Juan Archiv, Austria. http://hdl.handle.net/20.500.12708/85451
  • Alternatives to outline representations: Parametric fonts based on shape components / Hassan, T. (2012). Alternatives to outline representations: Parametric fonts based on shape components. TypeShorts, 21 June 2012, Brno, Czech Republic, EU. http://hdl.handle.net/20.500.12708/85444
  • Representing Vision Embedding Spaces / Kropatsch, W. (2012). Representing Vision Embedding Spaces. GS Workshop on Computer Vision and Perception, Prag, EU. http://hdl.handle.net/20.500.12708/85406
  • Representing and Manipulating Cyclic Paths in Continuous and Discrete Spaces / Kropatsch, W. (2012). Representing and Manipulating Cyclic Paths in Continuous and Discrete Spaces. CTIC 2012: 4th International Workshop on Computational Topology in Image Context, Italien, Bertinoro, EU. http://hdl.handle.net/20.500.12708/85405
  • Biometric Technologies / Haxhimusa, Y. (2012). Biometric Technologies. University of Prishtina, University of Prishtina, EU. http://hdl.handle.net/20.500.12708/85260
  • Using Aspect Graphs for View Synthesis / Ramachandran, G., & Kropatsch, W. (2012). Using Aspect Graphs for View Synthesis. In Proceedings of Computer Vision Winter Workshop (CVWW) (p. 7). http://hdl.handle.net/20.500.12708/73057
  • Classification of Gothic and Baroque architectural elements / Shalunts, G., Haxhimusa, Y., & Sablatnig, R. (2012). Classification of Gothic and Baroque architectural elements. In Proceedings of the 19th International Conference on Systems, Signals and Image Processing (pp. 330–333). http://hdl.handle.net/20.500.12708/54392
  • Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization / Hödlmoser, M., Micusik, B., Liu, M. Y., Pollefeys, M., & Kampel, M. (2012). Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization. In 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission. International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), Zürich, Schweiz, Non-EU. IEEE. https://doi.org/10.1109/3dimpvt.2012.23
  • A methodology for evaluating algorithms for table understanding in PDF documents / Göbel, M., Hassan, T., Oro, E., & Orsi, G. (2012). A methodology for evaluating algorithms for table understanding in PDF documents. In Proceedings of the 2012 ACM symposium on Document engineering - DocEng ’12. DocEng 2012 ACM Symposium on Document Engineering, Pairs, France, EU. ACM New York, NY, USA ©2012. https://doi.org/10.1145/2361354.2361365
  • Architectural Style Classification of Domes / Shalunts, G., Haxhimusa, Y., & Sablatnig, R. (2012). Architectural Style Classification of Domes. In Advances in Visual Computing (pp. 420–429). Springer 2012. https://doi.org/10.1007/978-3-642-33191-6_41
  • Interactive Labeling of Image Segmentation Hierarchies / Haxhimusa, Y. (2012). Interactive Labeling of Image Segmentation Hierarchies. In Statistische Woche (pp. 71–72). http://hdl.handle.net/20.500.12708/54307
  • Segmentation of Building Facade Domes / Shalunts, G., Haxhimusa, Y., & Sablatnig, R. (2012). Segmentation of Building Facade Domes. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (pp. 324–331). Springer. https://doi.org/10.1007/978-3-642-33275-3_40
  • Document Understanding of Graphical Content in Natively Digital PDF Documents / Gabdulkhakova, A., & Hassan, T. (2012). Document Understanding of Graphical Content in Natively Digital PDF Documents. In DocEng’12 Proceedings of the 2012 ACM symposium on Document engineering (pp. 137–140). http://hdl.handle.net/20.500.12708/54272
  • Robust camera self-calibration from monocular images of Manhattan worlds / Wildenauer, H., & Hanbury, A. (2012). Robust camera self-calibration from monocular images of Manhattan worlds. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, Non-EU. https://doi.org/10.1109/cvpr.2012.6248008

2011

  • Characterizing Obstacle- Avoiding Paths using Cohomology Theory / Dlotko, P., Kropatsch, W., & Wagner, H. (2011). Characterizing Obstacle- Avoiding Paths using Cohomology Theory. In Computer Analysis of Images and Patterns (pp. 310–317). Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer. https://doi.org/10.1007/978-3-642-23672-3_38
  • Multi-scale 2D tracking of articulated objects using hierarchical spring systems / Artner, N. M., Ion, A., & Kropatsch, W. G. (2011). Multi-scale 2D tracking of articulated objects using hierarchical spring systems. Pattern Recognition, 44(4), 800–810. https://doi.org/10.1016/j.patcog.2010.10.025
  • Hierarchical spatio-temporal extraction of models for moving rigid parts / Artner, N. M., Ion, A., & Kropatsch, W. G. (2011). Hierarchical spatio-temporal extraction of models for moving rigid parts. Pattern Recognition Letters, 32(16), 2239–2249. https://doi.org/10.1016/j.patrec.2011.05.005
  • On certain optimal diffeomorphisms between closed curves / Cerri, A., & Di Fabio, B. (2011). On certain optimal diffeomorphisms between closed curves. Forum Mathematicum, 26(6). https://doi.org/10.1515/form.2011.172
  • Invariant representative cocycles of cohomology generators using irregular graph pyramids / Gonzalez-Diaz, R., Ion, A., Iglesias-Ham, M., & Kropatsch, W. G. (2011). Invariant representative cocycles of cohomology generators using irregular graph pyramids. Computer Vision and Image Understanding, 115(7), 1011–1022. https://doi.org/10.1016/j.cviu.2010.12.009
  • Hardness results for homology localization / Chen, C., & Freedman, D. (2011). Hardness results for homology localization. Discrete & Computational Geometry, 45(3), 425–448. http://hdl.handle.net/20.500.12708/162778
  • Matching 2D and 3D articulated shapes using the eccentricity transform / Ion, A., Artner, N. M., Peyré, G., Kropatsch, W. G., & Cohen, L. D. (2011). Matching 2D and 3D articulated shapes using the eccentricity transform. Computer Vision and Image Understanding, 115(6), 817–834. https://doi.org/10.1016/j.cviu.2011.02.006
  • Convex Deficiencies for Human Action Recognition / Iglesias-Ham, M., Bartolo García-Reyes, E., Kropatsch, W., & Artner, N. (2011). Convex Deficiencies for Human Action Recognition. Journal of Intelligent and Robotic Systems, 64(3), 353–364. http://hdl.handle.net/20.500.12708/162740
  • A new algorithm for computing the 2-dimensional matching distance between size functions / Biasotti, S., Cerri, A., Frosini, P., & Giorgi, D. (2011). A new algorithm for computing the 2-dimensional matching distance between size functions. Pattern Recognition Letters, 32(14), 1735–1746. https://doi.org/10.1016/j.patrec.2011.07.014
  • Hierarchical Interactive Image Segmentation using Irregular Pyramids / Gerstmayer, M., Haxhimusa, Y., & Kropatsch, W. (2011). Hierarchical Interactive Image Segmentation using Irregular Pyramids. In Graph-Based Representations in Pattern Recognition 8th IAPR-TC-15 International Workshop, GbRPR 2011, Münster, Germany, May 18-20, 2011, Proceedings (pp. 245–254). Springer-Verlag Berlin Heidelberg 2011. https://doi.org/10.1007/978-3-642-20844-7_25
  • Epithelial Area Detection in Cytokeratin Microscopic Images Using MSER Segmentation in Anisotropic Pyramid / Smochina, C., Rogojanu, R., Manta, V., & Kropatsch, W. (2011). Epithelial Area Detection in Cytokeratin Microscopic Images Using MSER Segmentation in Anisotropic Pyramid. In Pattern Recognition in Bioinformatics. 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings (pp. 318–329). Lecture Notes in Bioinformatics. https://doi.org/10.1007/978-3-642-24855-9_28
  • Image Segmentation by Figure-Ground Composition into Maximal Cliques / Ion, A., Carreira, J., & Sminchisescu, C. (2011). Image Segmentation by Figure-Ground Composition into Maximal Cliques. In 13th IEEE International Conference on Computer Vision (pp. 2110–2117). IEEE. http://hdl.handle.net/20.500.12708/53259
  • Robustness and modularity of 2-dimensional size functions / Biasotti, S., Cerri, A., & Giorgi, D. (2011). Robustness and modularity of 2-dimensional size functions. In CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns (pp. 34–41). Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer. http://hdl.handle.net/20.500.12708/53850
  • An output-sensitive algorithm for persistent homology / Chen, C., & Kerber, M. (2011). An output-sensitive algorithm for persistent homology. In 27th Annual Symposium on Computational Geometry (SoCG 2011) (pp. 1–9). http://hdl.handle.net/20.500.12708/53719
  • Persistent homology computation with a twist / Chen, C., & Kerber, M. (2011). Persistent homology computation with a twist. In 27th European Workshop on Computational Geometry (EuroCG 2011) (pp. 1–4). http://hdl.handle.net/20.500.12708/53902
  • Diffusion runs low on persistence fast / Chen, C., & Edelsbrunner, H. (2011). Diffusion runs low on persistence fast. In 13th IEEE International Conference on Computer Vision (pp. 1–8). http://hdl.handle.net/20.500.12708/53889
  • Approximation Algorithm for the Multidimensional Mathching Distance / Cerri, A., & Frosini, P. (2011). Approximation Algorithm for the Multidimensional Mathching Distance. Thematic Program on Discrete Geometry and Applications -- Workshop on Computational Topology, Toronto, Ontario M5T 3J1, Canada, Non-EU. http://hdl.handle.net/20.500.12708/85195
  • 2 Computer Vision Tasks: tracking with structure, shape similarity / Ion, A. (2011). 2 Computer Vision Tasks: tracking with structure, shape similarity. University of Sevilla, University of Sevilla, EU. http://hdl.handle.net/20.500.12708/85324
  • Topological Pyramids and Computer Vision / Kropatsch, W. (2011). Topological Pyramids and Computer Vision. 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), Pucon, Chile, Non-EU. http://hdl.handle.net/20.500.12708/85215
  • The Walking Pyramid / Kropatsch, W. (2011). The Walking Pyramid. International Conference STCC 2011, Sinaia, Rumänien, EU. http://hdl.handle.net/20.500.12708/85214
  • Describing When and Where in Vision / Kropatsch, W., Ion, A., & Artner, N. (2011). Describing When and Where in Vision. In The 16th International Congress on Pattern Recognition, CIARP 2011, volume 7042 of Lecture Notes in Computer Science (pp. 25–26). Lecture Notes on Computer Science. http://hdl.handle.net/20.500.12708/53915
  • Sampling Step Importance in Hierarchical Semantic Segmentation of Microscopic Images / Smochina, C., Manta, V., & Kropatsch, W. (2011). Sampling Step Importance in Hierarchical Semantic Segmentation of Microscopic Images. In 15th International Conference on System Theory, Control and Computing 2011 (pp. 1–6). http://hdl.handle.net/20.500.12708/53911
  • Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy using Optical Strain / Shreve, M., Jain, N., Goldgof, D., Sarkar, S., & Kropatsch, W. (2011). Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy using Optical Strain. In The 14th International Conference on Computer Analysis of Images and Patterns (CAIP), volume 6854 of Lecture Notes in Computer Science (pp. 512–519). Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer. http://hdl.handle.net/20.500.12708/53906
  • Semantic Segmentation of Microscopic Images Using a Morphological Hierarchy / Smochina, C., Manta, V., & Kropatsch, W. (2011). Semantic Segmentation of Microscopic Images Using a Morphological Hierarchy. In The 14th International Conference on Computer Analysis of Images and Patterns (CAIP), volume 6854 of Lecture Notes in Computer Science (pp. 102–109). Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer. http://hdl.handle.net/20.500.12708/53905
  • Incremental-Decremental Algorithm for Computing AT-Models and Persistent Homology / González-Díaz, R., Ion, A., Jose Jimenez, M., & Poyates, R. (2011). Incremental-Decremental Algorithm for Computing AT-Models and Persistent Homology. In CAIP 2011, Part I, LNCS 6854 (pp. 286–293). Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer. http://hdl.handle.net/20.500.12708/53895
  • Architectural Style Classification of Building Facade Windows / Shalunts, G., Haxhimusa, Y., & Sablatnig, R. (2011). Architectural Style Classification of Building Facade Windows. In Advances in Visual Computing (pp. 280–289). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-24031-7_28
  • Camera Auto-Calibration Using Pedestrians and Zebra-Crossings / Hödlmoser, M., Micusik, B., & Kampel, M. (2011). Camera Auto-Calibration Using Pedestrians and Zebra-Crossings. In 2011 IEEE International Conference on Computer Vision Workshops (pp. 1697–1704). IEEE. http://hdl.handle.net/20.500.12708/53863
  • Exploiting Spatial Consistency for Object Classification and Pose Estimation / Hödlmoser, M., Micusik, B., & Kampel, M. (2011). Exploiting Spatial Consistency for Object Classification and Pose Estimation. In Proceedings of IEEE International Conference on Image Processing (ICIP’11) (pp. 1009–1012). IEEE. http://hdl.handle.net/20.500.12708/53862
  • A Global Method for Reducing Multidimensional Size Graphs / Cerri, A., Frosini, P., Kropatsch, W., & Landi, C. (2011). A Global Method for Reducing Multidimensional Size Graphs. In Proc. GbRPR 2011 - Graph-based Representation in Pattern Recognition, LNCS 6658, X. Jiang, M. Ferrer and A. Torsello Eds. (2011), 1-11 (pp. 1–11). Springer. http://hdl.handle.net/20.500.12708/53854
  • Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid Graph-Based Representations in Pattern Recognition / Artner, N., Ion, A., & Kropatsch, W. (2011). Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid Graph-Based Representations in Pattern Recognition. In GbRPR’11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition (pp. 215–224). Lecture Notes in Computer Science, Vol. 6658, Springer/Xiaoyi Jiang, Miquel Ferrer, Andrea Torsello. http://hdl.handle.net/20.500.12708/53843
  • Enhancing Visualization with Real-Time Frequency-based Transfer Functions / Vucini, E., Patel, D., & Gröller, E. (2011). Enhancing Visualization with Real-Time Frequency-based Transfer Functions. In Proceedings of IS&T/SPIE Conference on Visualization and Data Analysis (pp. 1–12). http://hdl.handle.net/20.500.12708/53749
  • Probabilistic Joint Image Segmentation and Labeling / Ion, A., Carreira, J., & Sminchisescu, C. (2011). Probabilistic Joint Image Segmentation and Labeling. In Advances in Neural Information Processing Systems 24 (pp. 1–9). Advances in Neural Information Processing Systems 24 , edited by J. Shawe-Taylor and R.S. Zemel and P. Bartlett and F. Pereira and K.Q. Weinberger (2011). http://hdl.handle.net/20.500.12708/53630
  • Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges / Stöttinger, J., Goras, B. T., Pönitz, T., Sebe, N., Hanbury, A., & Gevers, T. (2011). Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges. In R. Koch & F. Huang (Eds.), Computer Vision – ACCV 2010 Workshops (pp. 349–358). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-22822-3_35
  • Enforcing topological constraints in random field image segmentation / Chen, C., Freedman, D., & Lampert, C. (2011). Enforcing topological constraints in random field image segmentation. In IEEE Computer Vision and Pattern Recognition (CVPR 2011) (pp. 2089–2096). http://hdl.handle.net/20.500.12708/53260
  • Efficient computation of persistent homology for cubical data / Wagner, H., Chen, C., & Vucini, E. (2011). Efficient computation of persistent homology for cubical data. In Proceedings of the 4th Workshop on Topology-based Methods in Data Analysis and Visualization (TopoInVis 2011) (pp. 1–14). http://hdl.handle.net/20.500.12708/53258
  • Skewed Coordinate System for Dense Point Correspondences Inside Articulated Shapes / Ion, A., Haxhimusa, Y., & Kropatsch, W. (2011). Skewed Coordinate System for Dense Point Correspondences Inside Articulated Shapes (PRIP-TR-126). http://hdl.handle.net/20.500.12708/37106
  • The 14th International Conference on Computer Analysis of Images and Patterns (CAIP), Part II / Berciano, A., Diaz-Pernil, D., Kropatsch, W., Molina-Abril, H., & Real, P. (Eds.). (2011). The 14th International Conference on Computer Analysis of Images and Patterns (CAIP), Part II. Springer-Verlag. http://hdl.handle.net/20.500.12708/23388
  • The 14th International Conference on Computer Analysis of Images and Patterns / Berciano, A., Diaz-Pernil, D., Kropatsch, W., Molina-Abril, H., & Real, P. (Eds.). (2011). The 14th International Conference on Computer Analysis of Images and Patterns. Springer. http://hdl.handle.net/20.500.12708/23387

2010

  • Multi-scale 2D tracking of articulated objects using hierarchical spring systems / Artner, N., Ion, A., & Kropatsch, W. (2010). Multi-scale 2D tracking of articulated objects using hierarchical spring systems. Pattern Recognition, 44(4), 800–810. http://hdl.handle.net/20.500.12708/167563
  • New approach to the perception of 3D shape based on veridicality, complexity, symmetry and volume / Pizlo, Z., Sawada, T., Li, Y., Kropatsch, W., & Steinman, R. (2010). New approach to the perception of 3D shape based on veridicality, complexity, symmetry and volume. Vision Research, 50, 1–11. http://hdl.handle.net/20.500.12708/167450
  • Robust and efficient analysis of signals and images / Kropatsch, W., & Ruiz-Shulcloper, J. (2010). Robust and efficient analysis of signals and images. Pattern Recognition Letters, 31(6), 445–446. http://hdl.handle.net/20.500.12708/167455
  • Towards a Common Evaluation Strategy for Table / Hassan, T. (2010). Towards a Common Evaluation Strategy for Table. In DocEng ’10: Proceedings of the 10th ACM symposium on Document engineering (pp. 255–258). Association for Computing Machinery. https://doi.org/10.1145/1860559.1860617
  • Next Generation Typeface Representations: Revisiting Parametric Fonts / Hassan, T., Hu, C., & Hersch, R. D. (2010). Next Generation Typeface Representations: Revisiting Parametric Fonts. In Proceedings of the 10th ACM symposium on Document engineering - DocEng ’10 (pp. 181–184). Association for Computing Machinery (ACM). https://doi.org/10.1145/1860559.1860596
  • The Efficiency of a Homology Algorithm based on Discrete Morse Theory and Coreductions / Harker, S., Mischaikow, K., Mrozek, M., Nanda, V., Wagner, H., Juda, M., & Dlotko, P. (2010). The Efficiency of a Homology Algorithm based on Discrete Morse Theory and Coreductions. 3rd International Workshop on Computational Topology in Image Context - CTIC 2010, Chipiona, EU. http://hdl.handle.net/20.500.12708/85063
  • Representing Scenes with dynamic objects by Graph Pyramids / Kropatsch, W. (2010). Representing Scenes with dynamic objects by Graph Pyramids. The Seventh IASTED International Conference on Signal Processing, Pattern Recognition and Applications - SPPRA 2010, Innsbruck, EU. http://hdl.handle.net/20.500.12708/85032
  • On the search of Optimal Reconstruction Resolution / Vucini, E., & Kropatsch, W. (2010). On the search of Optimal Reconstruction Resolution. 3rd International Workshop on Computational Topology in Image Context - CTIC 2010, Chipiona, EU. http://hdl.handle.net/20.500.12708/85020
  • Affective Image Classification / Machajdik, J., & Hanbury, A. (2010). Affective Image Classification. Computer Vision Winter Workshop 2010, Nove Hrady, EU. http://hdl.handle.net/20.500.12708/85619
  • Image-based Grasping Point Detectin using Boosted Histograms of Oriented Gradients / Lefakis, L., Wildenauer, H., Garcia-Tubio, M. P., & Lech, S. (2010). Image-based Grasping Point Detectin using Boosted Histograms of Oriented Gradients. In Proceedings of the ICIAR 2010 (pp. 1–10). http://hdl.handle.net/20.500.12708/71689
  • Universal Seed Skin Segmentation / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Universal Seed Skin Segmentation. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammound, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, & L. Avila (Eds.), Advances in Visual Computing (pp. 75–84). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-17274-8_8
  • Augmentation of Skin Segmentation / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Augmentation of Skin Segmentation. In H. Arabnia, L. Deligiannidis, G. Schaefer, & A. Solo (Eds.), Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (pp. 473–479). CSREA Press. http://hdl.handle.net/20.500.12708/53501
  • Skin detection: A random forest approach / Khan, R., Hanbury, A., & Stoettinger, J. (2010). Skin detection: A random forest approach. In 2010 IEEE International Conference on Image Processing. International Conference on Image Processing 2010, Hong Kong, Non-EU. IEEE. https://doi.org/10.1109/icip.2010.5651638
  • Weighted Skin Color Segmentation and Detection Using Graph Cuts / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Weighted Skin Color Segmentation and Detection Using Graph Cuts. In L. Spaček & V. Franc (Eds.), Proceedings of the Computer Vision Winter Workshop 2010 (pp. 107–114). Czech Society for Cybernetics and Informatics. http://hdl.handle.net/20.500.12708/53489
  • Co-occurrence Bag of Words for Object Recognition / Bhatti, N., & Hanbury, A. (2010). Co-occurrence Bag of Words for Object Recognition. In L. Spaček & V. Franc (Eds.), Proceedings of the Computer Vision Winter Workshop 2010 (pp. 21–28). Czech Society for Cybernetics and Informatics. http://hdl.handle.net/20.500.12708/53488
  • Behavior and properties of spatio-temporal local features under visual transformations / Stöttinger, J., Goras, B. T., Sebe, N., & Hanbury, A. (2010). Behavior and properties of spatio-temporal local features under visual transformations. In Proceedings of the international conference on Multimedia - MM ’10. ACM Multimedia 2010 International Conference, Florenz, Italien, EU. Association for Computing Machinery (ACM). https://doi.org/10.1145/1873951.1874174
  • FeEval A Dataset for Evaluation of Spatio-temporal Local Features / Stöttinger, J., Zambanini, S., Khan, R., & Hanbury, A. (2010). FeEval A Dataset for Evaluation of Spatio-temporal Local Features. In M. Cetin, K. Boyer, & S.-W. Lee (Eds.), 2010 20th International Conference on Pattern Recognition. IEEE. https://doi.org/10.1109/icpr.2010.128
  • Efficient and Distinct Large Scale Bags of Words / Pönitz, T., Stöttinger, J., Donner, R., & Hanbury, A. (2010). Efficient and Distinct Large Scale Bags of Words. In P. Blauensteiner, M. Lettner, & J. Stöttinger (Eds.), Computer Vision in a Global Society - 34th Annual Workshop of the Austrian Association for Pattern Recognition (AAPR) and the WG Visual Computing of the Austrian Computer Society (pp. 139–146). Österreichische Computer Gesellschaft. http://hdl.handle.net/20.500.12708/53480
  • Affective image classification using features inspired by psychology and art theory / Machajdik, J., & Hanbury, A. (2010). Affective image classification using features inspired by psychology and art theory. In Proceedings of the international conference on Multimedia - MM ’10. ACM Multimedia 2010 International Conference, Florenz, Italien, EU. Association for Computing Machinery (ACM). https://doi.org/10.1145/1873951.1873965
  • Algorithm to Compute a Minimal Length Basis of Representative Cocycles of Cohomology Generators / Iglesias-Ham, M., Garcia, E., Kropatsch, W., & González-Díaz, R. (2010). Algorithm to Compute a Minimal Length Basis of Representative Cocycles of Cohomology Generators. In 3rd Workshop on Computational Topology in Image Context (CTIC) (pp. 121–127). Roc\’io Gonz\’alez D\’iaz and Pedro Real Jurado. http://hdl.handle.net/20.500.12708/53399
  • Irregular {L}aplacian {G}raph {P}yramid / Shao, D., & Kropatsch, W. (2010). Irregular {L}aplacian {G}raph {P}yramid. In Proceedings of the 15th Computer Vision Winter Workshop (pp. 66–71). Libor {\v S}pa{\v c}ek and Vojt{\v e}ch Franc. http://hdl.handle.net/20.500.12708/53398
  • Multi-View Integration for a Rotating 3D Object / Mateos, L., & Kropatsch, W. (2010). Multi-View Integration for a Rotating 3D Object. In Proceedings of the 15th Computer Vision Winter Workshop (pp. 72–76). Libor {\v S}pa{\v c}ek and Vojt{\v e}ch Franc. http://hdl.handle.net/20.500.12708/53397
  • Representing the Surface of Objects by Combinatorial Pyramids / Antunez, E., Molina Abril, H., & Kropatsch, W. (2010). Representing the Surface of Objects by Combinatorial Pyramids. In Proceedings of the 15th Computer Vision Winter Workshop (pp. 85–90). Libor {\v S}pa{\v c}ek and Vojt{\v e}ch Franc. http://hdl.handle.net/20.500.12708/53396
  • Combining Regular Decimation and Dual Graph Contraction for Hierarchical Image Segmentation / Torres Garcia, F., Marfill, R., Haxhimusa, Y., & Bandera, A. (2010). Combining Regular Decimation and Dual Graph Contraction for Hierarchical Image Segmentation. In R. González-Díaz & P. Real (Eds.), 3rd International Workshop on Computational Topology in Image Context (pp. 97–104). ACM. http://hdl.handle.net/20.500.12708/53351

2009

2008

  • Efficient Reconstruction from Non-uniform Point Sets / Vucini, E., Möller, T., & Gröller, E. (2008). Efficient Reconstruction from Non-uniform Point Sets. Visual Computer, 24(7–9), 555–563. http://hdl.handle.net/20.500.12708/170530
    Project: Punkt-basierte Volumen-Graphik (2006–2009)
  • A survey of methods for image annotation / Hanbury, A. (2008). A survey of methods for image annotation. Journal of Visual Languages and Computing, 19, 617–627. http://hdl.handle.net/20.500.12708/170818
  • Constructing cylindrical coordinate colour spaces / Hanbury, A. (2008). Constructing cylindrical coordinate colour spaces. Pattern Recognition Letters, 29, 494–500. http://hdl.handle.net/20.500.12708/170817
  • Messen statt scoren in der Rheumatologie; Neue quantitative Bildgebungs- und -verarbeitungsmethoden der Radiologie / Peloschek, P. L., Müller-Mang, C., Friedrich, K., Langs, G., Donner, R., Valentinitsch, A., & Kainberger, F. (2008). Messen statt scoren in der Rheumatologie; Neue quantitative Bildgebungs- und -verarbeitungsmethoden der Radiologie. Zeitschrift Für Rheumatologie, 1, 51–58. http://hdl.handle.net/20.500.12708/171103
  • Numismatic Object Identification Using Fusion of Shape and Local Descriptors / Huber-Mörk, R., Zaharieva, M., & Czedik-Eysenberg, H. (2008). Numismatic Object Identification Using Fusion of Shape and Local Descriptors. In Advances in Visual Computing (pp. 368–379). Springer, LNCS. http://hdl.handle.net/20.500.12708/52588
  • Using Generalized Sparse MRF Appearance Models for Anatomical Structure Localization / Donner, R., Langs, G., Micusik, B., & Bischof, H. (2008). Using Generalized Sparse MRF Appearance Models for Anatomical Structure Localization. In 20th International Conference of Society for Medical Innovations and Technology. 20th International Conference of Society for Medical Innovations and Technology, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/52638
  • 3D Shape Matching by Geodesic Eccentricity / Ion, A., Artner, N., Peyre, G., Lopez, S., Kropatsch, W., & Cohen, L. (2008). 3D Shape Matching by Geodesic Eccentricity. In Workshop on Search in 3D (in conjunction with CVPR 2008). Workshop on Search in 3D (in conjunction with CVPR 2008), Anchorge, Alaska, Non-EU. IEEE. http://hdl.handle.net/20.500.12708/52358
  • Video Object Segmentation Using Graphs / Lopez, S., Artner, N., Ion, A., Kropatsch, W., & Beleznai, C. (2008). Video Object Segmentation Using Graphs. In 13th Iberoamerican Congress on Pattern Recognition (CIARP 2008) (pp. 733–740). Springer. http://hdl.handle.net/20.500.12708/52450
  • Delineating Homology Generators in Graph Pyramids / Iglesias-Ham, M., Ion, A., Kropatsch, W., & Garcia, E. (2008). Delineating Homology Generators in Graph Pyramids. In 13th Iberoamerican Congress on Pattern Recognition (CIARP 2008) (pp. 576–584). Springer. http://hdl.handle.net/20.500.12708/52447
  • Representations for Cognitive Vision: A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches / Pinz, A., Bischof, H., Kropatsch, W., Schweighofer, G., Haxhimusa, Y., Opelt, A., & Ion, A. (2008). Representations for Cognitive Vision: A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches. Electronic Letters on Computer Vision and Image Analysis, 7(2), 27. http://hdl.handle.net/20.500.12708/170800
  • Tracking by Hierarchical Representation of Target Structure / Artner, N., Lopez, S., Beleznai, C., & Kropatsch, W. (2008). Tracking by Hierarchical Representation of Target Structure. In Structural, Syntactic, and Statistical Pattern Recognition (pp. 441–450). Springer. http://hdl.handle.net/20.500.12708/52615
  • Kernel-Based Tracking Using Spatial Structure / Artner, N., Lopez, S., Beleznai, C., & Kropatsch, W. (2008). Kernel-Based Tracking Using Spatial Structure. In Challenge in the Biosciences: Image Analysis and Pattern Recognition Aspects (pp. 103–114). OCG. http://hdl.handle.net/20.500.12708/52614
  • Improving Tracking Using Structure / Lopez, S., Artner, N., Iglesias-Ham, M., Kropatsch, W., Clabian, M., & Burger, W. (2008). Improving Tracking Using Structure. In Computer Vision Workshop 2008 (pp. 69–76). http://hdl.handle.net/20.500.12708/52613
  • Efficient Reconstruction from Non-uniform Point Sets / Vucini, E., Möller, T., & Gröller, E. (2008). Efficient Reconstruction from Non-uniform Point Sets. Computer Graphics International, Yokohama, Japan, Non-EU. http://hdl.handle.net/20.500.12708/84773
    Project: Punkt-basierte Volumen-Graphik (2006–2009)
  • Graph-based Representations for Segmentation, Tracking and Shape Matching / Kropatsch, W. (2008). Graph-based Representations for Segmentation, Tracking and Shape Matching. University of Central Florida, USA, University of Central Florida, USA, Non-EU. http://hdl.handle.net/20.500.12708/84841
  • How to find Good, Optimal and Robust TSP solutions / Kropatsch, W. (2008). How to find Good, Optimal and Robust TSP solutions. Workshop on New Perspektives on Human Problem Solving, Purdue University, West Lafayette, Indiana, USA, Non-EU. http://hdl.handle.net/20.500.12708/84840
  • Open Issues and Chances for Topological Pyramids / Kropatsch, W. (2008). Open Issues and Chances for Topological Pyramids. Catimag’08 Computational Algebraic Topology Within Image Context, Sevilla, EU. http://hdl.handle.net/20.500.12708/84839
  • Estimation Of Fit Confidence In Active Shape Model Search For The Reliable Measurement Of Knee Alignment / Widhalm, P., Langs, G., Donner, R., Fakhrai, N., Peloschek, P. L., & Sablatnig, R. (2008). Estimation Of Fit Confidence In Active Shape Model Search For The Reliable Measurement Of Knee Alignment. In Challenge in the Biosciences: Image Analysis and Pattern Recognition Aspects. 32nd Workshop of the Austrian Association for Pattern Recognition, Linz, Austria. OCG. http://hdl.handle.net/20.500.12708/52637
  • On Segmentation Evaluation Metrics and Region Counts / Hanbury, A., & Stöttinger, J. (2008). On Segmentation Evaluation Metrics and Region Counts. In Proceedings of the the 19th International Conference on Image Processing (ICPR09). The 19th International Conference on Image Processing (ICPR08), Tampa, Florida, Non-EU. IEEE Computer Society. http://hdl.handle.net/20.500.12708/52629
  • Evaluation of Gradient Vector Flow for Interest Point Detection / Stöttinger, J., Donner, R., Szumilas, L., & Hanbury, A. (2008). Evaluation of Gradient Vector Flow for Interest Point Detection. In Advances in Visual Computing, Part I (pp. 338–348). Springer, LNCS. http://hdl.handle.net/20.500.12708/52626
  • Image-Based Classification Of Ancient Coins / Kampel, M., Vondrovec, K., Zaharieva, M., & Zambanini, S. (2008). Image-Based Classification Of Ancient Coins. In Proceedings of the 14th International Conference on Virtual Systems and Multimedia. VSMM09, Limassol, Cyprus, EU. http://hdl.handle.net/20.500.12708/52590
  • Recognizing Ancient Coins Based on Local Features / Kampel, M., & Zaharieva, M. (2008). Recognizing Ancient Coins Based on Local Features. In Advances in Visual Computing, Part I (pp. 11–22). Springer, LNCS. http://hdl.handle.net/20.500.12708/52589
  • Secure and customizable software applications in embedded networks / Praus, F., Flanitzer, T., & Kastner, W. (2008). Secure and customizable software applications in embedded networks. In Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008) (pp. 1473–1480). http://hdl.handle.net/20.500.12708/52504
    Project: seBAS (2007–2011)
  • How Do Superpixels Affect Image Segmentation? / Hanbury, A. (2008). How Do Superpixels Affect Image Segmentation? In Progress in Pattern Recognition, Image Anlysis and Applications (pp. 178–186). Springer. http://hdl.handle.net/20.500.12708/52472
  • Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task / Grubinger, M., Clough, P., Hanbury, A., & Müller, H. (2008). Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task. In Advances in Multilingual and Multimodal Information Retrieval (pp. 433–444). Springer. http://hdl.handle.net/20.500.12708/52471
  • Overview of the ImageCLEF 2007 Object Retrieval Task / Deselaers, T., Hanbury, A., Viitaniemi, V., Benczur, A., Brendel, M., Daroczy, B., Escalante Balderas, H. J., Gevers, T., Hernandez Gracidas, C. A., Laaksonen, J., Li, M., Marın Castro, H. M., Ney, H., Rui, X., Sebe, N., & Stöttinger, J. (2008). Overview of the ImageCLEF 2007 Object Retrieval Task. In Advances in Multilingual and Multimodal Information Retrieval (pp. 445–471). Springer. http://hdl.handle.net/20.500.12708/52470
  • Euclidean Eccentricity Transform by Discrete Arc Paving / Ion, A., Kropatsch, W., & Andres, E. (2008). Euclidean Eccentricity Transform by Discrete Arc Paving. In Proceedings of the 14th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI) (pp. 213–224). Springer. http://hdl.handle.net/20.500.12708/52449
  • A Coordinate System for Articulated 2D Shape Point Correspondences / Ion, A., Haxhimusa, Y., Kropatsch, W., & Lopez, S. (2008). A Coordinate System for Articulated 2D Shape Point Correspondences. In The 19th International Conference on Pattern recognition. The 19th International Conference on Image Processing (ICPR08), Tampa, Florida, Non-EU. IEEE Computer Society. http://hdl.handle.net/20.500.12708/52448
  • Mapping A Coordinate System To A Non-Rigid Shape / Ion, A., & Kropatsch, W. (2008). Mapping A Coordinate System To A Non-Rigid Shape. In Challenge in the Biosciences: Image Analysis and Pattern Recognition Aspects (pp. 169–178). OCG. http://hdl.handle.net/20.500.12708/52357
  • Evaluation of content-based Features for User-Centred Image Retrieval in Small Media Collections / Eidenberger, H., & Zaharieva, M. (2008). Evaluation of content-based Features for User-Centred Image Retrieval in Small Media Collections. In Proceedings of SPIE IS&T Electronic Imaging Conference 2008. SPIE IS&T Electronic Imaging Conference, San Jose, Kalifornien, Non-EU. SPIE Press. http://hdl.handle.net/20.500.12708/51900
  • Progress in Pattern Recognition, Image Analysis and Applications / Ruiz-Shulcloper, J., & Kropatsch, W. (Eds.). (2008). Progress in Pattern Recognition, Image Analysis and Applications. Springer LNCS. http://hdl.handle.net/20.500.12708/22838

2007

  • Identification of Drawing Tools by Classification of Textural and Boundary Features of Strokes / Kammerer, P., Lettner, M., Zolda, E., & Sablatnig, R. (2007). Identification of Drawing Tools by Classification of Textural and Boundary Features of Strokes. Pattern Recognition Letters, 28(16), 710–718. http://hdl.handle.net/20.500.12708/169672
  • Multiresolution Image Segmentations in Graph Pyramids / Kropatsch, W., Haxhimusa, Y., & Ion, A. (2007). Multiresolution Image Segmentations in Graph Pyramids. In A. Kandel, H. Bunke, & M. Last (Eds.), Applied Graph Theory in Computer Vision and Pattern Recognition (pp. 3–41). Springer. http://hdl.handle.net/20.500.12708/25409
  • Semantics in Content-based Multimedia Retrieval / Eidenberger, H., & Zaharieva, M. (2007). Semantics in Content-based Multimedia Retrieval. In Multimedia Semantics - The Role of Metadata (pp. 151–174). Springer. http://hdl.handle.net/20.500.12708/25407
  • Robust Autonomous Model Learning from 2D and 3D Data Sets / Langs, G., Donner, R., Peloschek, P. L., & Bischof, H. (2007). Robust Autonomous Model Learning from 2D and 3D Data Sets. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007. 10th International Conference MICCAI 2007, Brisbane, AQustralia, Non-EU. http://hdl.handle.net/20.500.12708/52035
  • Object Localization based on Markov Random Fields and Symmetry Interest Points / Donner, R., Micusik, B., Langs, G., Szumilas, L., Peloschek, P. L., Friedrich, K., & Bischof, H. (2007). Object Localization based on Markov Random Fields and Symmetry Interest Points. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007. 10th International Conference MICCAI 2007, Brisbane, AQustralia, Non-EU. http://hdl.handle.net/20.500.12708/52036
  • Sparse MRF Appearance Models for Fast Anatomical Structure Localisation / Donner, R., Langs, G., Micusik, B., & Bischof, H. (2007). Sparse MRF Appearance Models for Fast Anatomical Structure Localisation. In Britisch Machine Vision Conference. British Machine Vision Conference BMVC 2007, Warwick, EU. http://hdl.handle.net/20.500.12708/52034
  • Improved motion segmentation based on shadow detection / Kampel, M., Wildenauer, H., Blauensteiner, P., & Hanbury, A. (2007). Improved motion segmentation based on shadow detection. Electronic Letters on Computer Vision and Image Analysis, 6(3), 12. http://hdl.handle.net/20.500.12708/169685
  • Radial Edge Configuration for Semi-local Image Structure Description / Szumilas, L., Wildenauer, H., Hanbury, A., & Donner, R. (2007). Radial Edge Configuration for Semi-local Image Structure Description. In Advances in Visual Computing (pp. 633–643). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/52045
  • Local Structure Detection with Orientation-invariant Radial Configuration / Szumilas, L., Donner, R., Langs, G., & Hanbury, A. (2007). Local Structure Detection with Orientation-invariant Radial Configuration. In Computer Vision and Pattern Recognition (p. 7). http://hdl.handle.net/20.500.12708/52043
  • Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration / Langs, G., Paragios, N., Donner, R., Desgranges, P., Rahmouni, A., & Kobeiter, H. (2007). Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. In Mathematical Methods in Biomedical Image Analysis (p. 8). IEEE Computer Society. http://hdl.handle.net/20.500.12708/52037
  • Evaluation of 3D Shapes of Ceramics for Determination of Manufacturing Techniques / Mara, H., & Sablatnig, R. (2007). Evaluation of 3D Shapes of Ceramics for Determination of Manufacturing Techniques. In CAA07: Layers of Perception (pp. 91–97). http://hdl.handle.net/20.500.12708/52016
  • Decomposition for Efficient Eccentricity Transform of Convex Shapes / Ion, A., Peltier, S., Haxhimusa, Y., & Kropatsch, W. (2007). Decomposition for Efficient Eccentricity Transform of Convex Shapes. In Computer Analysis of Images and Patterns (pp. 653–661). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51991
  • Computing the Eccentricity Transform of a Polygonal Shape / Kropatsch, W., Ion, A., & Peltier, S. (2007). Computing the Eccentricity Transform of a Polygonal Shape. In 12th Iberoamerican Congress on Pattern Recognition (CIARP 2007) (pp. 291–300). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51990
  • A Study of Vocabularies for Image Annotation / Hanbury, A. (2007). A Study of Vocabularies for Image Annotation. In Proceedings of the second international conference on Semantics And digital Media Technologies (SAMT) (pp. 284–287). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51985
  • Morphological Distinguished Regions / Hanbury, A. (2007). Morphological Distinguished Regions. In Proc. 12th Iberoamerican Congress on Pattern Recognition (CIARP). 12th Iboamerican Congress on Pattern Recognition, CIAPR2007, Vina del Mar-Valparaiso, Chile, Non-EU. Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51983
  • Colour Adjacency Histograms for Image Matching / Hanbury, A., & Marcotegui, B. (2007). Colour Adjacency Histograms for Image Matching. In Proceedings of the Computer Analysis of Images and Patterns Conference (CAIP). 12th International Conference CAIP 2007, Wien, Austria. Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51982
  • Do Colour Interest Points Improve Image Retrieval? / Stöttinger, J., Hanbury, A., Sebe, N., & Gevers, T. (2007). Do Colour Interest Points Improve Image Retrieval? In Proc. International Conference on Image Processing (ICIP) (pp. 169–172). http://hdl.handle.net/20.500.12708/51981
  • On ancient coin classification / Zaharieva, M., Huber, R., Nölle, M., & Kampel, M. (2007). On ancient coin classification. In 8th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST’07) (pp. 55–62). http://hdl.handle.net/20.500.12708/51976
  • Image based recognition of ancient coins / Zaharieva, M., Kampel, M., & Zambanini, S. (2007). Image based recognition of ancient coins. In W. Kropatsch, M. Kampel, & A. Hanbury (Eds.), Computer Analysis of Images and Patterns (pp. 547–554). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51975
  • Optical recognition of medieval coins / Kampel, M., & Zaharieva, M. (2007). Optical recognition of medieval coins. In CAA07: Layers of perception (p. 7). http://hdl.handle.net/20.500.12708/51974
  • Registration of Multispectral Manuscript Images as Prerequisite for Computer Aided Script Description / Lettner, M., Diem, M., Sablatnig, R., Kammerer, P., & Miklas, H. (2007). Registration of Multispectral Manuscript Images as Prerequisite for Computer Aided Script Description. In Proceedings of the 12th Computer Vision Winter Workshop (pp. 51–58). Verlag der Technischen Universität Graz. http://hdl.handle.net/20.500.12708/51969
  • Controlling Geometry of Homology Generators / Peltier, S., Ion, A., Haxhimusa, Y., & Kropatsch, W. (2007). Controlling Geometry of Homology Generators. In Proceedings of the 12th Computer Vision Winter Workshop. Computer Vision Winter Workshop, St. Lambrecht, Austria. Verlag der Technischen Universität Graz. http://hdl.handle.net/20.500.12708/51965
  • Shape Matching Using the Geodesic Eccentricity Transform - A Study / Ion, A., Peyre, G., Haxhimusa, Y., Peltier, S., Kropatsch, W., & Cohen, L. (2007). Shape Matching Using the Geodesic Eccentricity Transform - A Study. In The 31st annual workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR) (pp. 97–104). OCG. http://hdl.handle.net/20.500.12708/51964
  • Approximating TSP Solution by MST based Graph Pyramid / Haxhimusa, Y., Kropatsch, W., Pizlo, Z., & Ion, A. (2007). Approximating TSP Solution by MST based Graph Pyramid. In Proceedings of the 15th International Workshop on Graph-based Representation for Pattern Recognition (pp. 295–306). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51963
  • Computing Homology Group Generators of Images Using Irregular Graph Pyramids / Peltier, S., Ion, A., Haxhimusa, Y., Kropatsch, W., & Guillaume, D. (2007). Computing Homology Group Generators of Images Using Irregular Graph Pyramids. In Proceedings of the 15th International Workshop on Graph-based Representation for Pattern Recognition (pp. 283–294). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51962
  • Multi-label image segmentation via max-sum solver / Micusik, B., & Pajdla, T. (2007). Multi-label image segmentation via max-sum solver. In IEEE Conference on Computer Vision and Pattern Recognition, 2007. IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR ’07, Minneapolis, MN, USA, Non-EU. Omnipres. http://hdl.handle.net/20.500.12708/51945
  • Face Recognition under Varying Illumination / Vucini, E., Gökmen, M., & Gröller, E. (2007). Face Recognition under Varying Illumination. In V. Skala (Ed.), Journal of WSCG 2007 (p. 8). http://hdl.handle.net/20.500.12708/51922
    Project: Punkt-basierte Volumen-Graphik (2006–2009)
  • Colour Interest Points for Image Retrieval / Stöttinger, J., Sebe, N., Gevers, T., & Hanbury, A. (2007). Colour Interest Points for Image Retrieval. In Proceedings of the 12th Computer Vision Winter Workshop (pp. 83–90). http://hdl.handle.net/20.500.12708/51841
  • Image based recognition of coins -- An Overview of the COINS project / Zaharieva, M., Kampel, M., & Zambanini, S. (2007). Image based recognition of coins -- An Overview of the COINS project. In Performance Evaluation for Computer Vision 31st AAPR/OAGM Workshop 2007 (pp. 57–64). http://hdl.handle.net/20.500.12708/51821
  • Stroke Segmentation with a Combination of Ribbon and Ziplock-Snakes / Vill, M., & Kammerer, P. (2007). Stroke Segmentation with a Combination of Ribbon and Ziplock-Snakes. In Performance Evaluation for Computer Vision 31st AAPR/OAGM Workshop 2007 (pp. 17–24). http://hdl.handle.net/20.500.12708/51820
  • Active Contour Segmentation of Painted Strokes without a priori Shape Knowledge / Vill, M., & Kammerer, P. (2007). Active Contour Segmentation of Painted Strokes without a priori Shape Knowledge. In Proceedings of the 12th Computer Vision Winter Workshop. 12th CVWW07, St. Lambrecht, Austria. http://hdl.handle.net/20.500.12708/51819
  • Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007 / Kropatsch, W., Kampel, M., & Hanbury, A. (Eds.). (2007). Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007. Springer LNCS. http://hdl.handle.net/20.500.12708/22351
  • The Structurally Optimal Dual Graph Pyramid and its Application in Image Partitioning / Haxhimusa, Y. (Ed.). (2007). The Structurally Optimal Dual Graph Pyramid and its Application in Image Partitioning. IOS Press and Akadademische Verlagsgesellschaft AKA GmbH. http://hdl.handle.net/20.500.12708/22348

2006

2005

  • Vision Pyramids that do not Grow too High / Kropatsch, W., Haxhimusa, Y., Pizlo, Z., & Langs, G. (2005). Vision Pyramids that do not Grow too High. Pattern Recognition Letters, 26(3), 319–337. http://hdl.handle.net/20.500.12708/173324
  • Hierarchical Image Partitioning using Combinatorial Maps / Haxhimusa, Y., Ion, A., Kropatsch, W., & Brun, L. (2005). Hierarchical Image Partitioning using Combinatorial Maps. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Hierarchical Image Partitioning using Combinatorial Maps (pp. 179–186). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51285
  • Inside and Outside within Combinatorial Pyramids / Brun, L., & Kropatsch, W. (2005). Inside and Outside within Combinatorial Pyramids. In L. Brun & M. vento (Eds.), 5th IAPR-TC15 Workshop on Graph-based Representation in Pattern Recognition (pp. 122–131). Springer, LNCS. http://hdl.handle.net/20.500.12708/51282
  • A Graph-Based Concept for Spatiotemporal Information in Cognitive Vision / Ion, A., Haxhimusa, Y., & Kropatsch, W. (2005). A Graph-Based Concept for Spatiotemporal Information in Cognitive Vision. In L. Brun & M. vento (Eds.), 5th IAPR-TC15 Workshop on Graph-based Representation in Pattern Recognition (pp. 223–232). Springer, LNCS. http://hdl.handle.net/20.500.12708/51283
  • Hierarchical Image Partitioning using Combinatorial Maps / Ion, A., Haxhimusa, Y., Kropatsch, W., & Brun, L. (2005). Hierarchical Image Partitioning using Combinatorial Maps. In A. Hanbury & H. Bischof (Eds.), 10th Computer Vision Winter Workshop - CVWW 2005 (pp. 43–52). Eigenverlag. http://hdl.handle.net/20.500.12708/51281
  • Evaluating Minimum Spanning Tree Based Segmentation Algorithms / Haxhimusa, Y., Ion, A., Kropatsch, W., & Illetschko, T. (2005). Evaluating Minimum Spanning Tree Based Segmentation Algorithms. In A. Gagalowicz & W. Philips (Eds.), Computer Analysis of Images and Patterns: 11th International Conference, CAIP 2005 (pp. 579–586). Springer, LNCS. http://hdl.handle.net/20.500.12708/51287
  • Texture Based Drawing Tool Classification in Infrared Reflectograms / Lettner, M., & Sablatnig, R. (2005). Texture Based Drawing Tool Classification in Infrared Reflectograms. In A. Hanbury & H. Bischof (Eds.), Proc. of the 10th Computer Vision Winter Workshop (pp. 63–72). Eigenverlag. http://hdl.handle.net/20.500.12708/51288
  • CCA-based Active Appearance Model Search / Donner, R., Langs, G., Reiter, M., & Bischof, H. (2005). CCA-based Active Appearance Model Search. In A. Hanbury & H. Bischof (Eds.), Computer Vision Winter Workshop 2005 (pp. 73–82). Eigenverlag. http://hdl.handle.net/20.500.12708/51329
  • Model-Based Occlusion Handling for Tracking in Crowded scenes / Beleznai, C., Frühstück, B., Bischof, H., & Kropatsch, W. (2005). Model-Based Occlusion Handling for Tracking in Crowded scenes. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 227–234). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51286
  • Fast Active Appearance Model Search based on CCA and its application to hand radiographs / Donner, R., Langs, G., Reiter, A., & Bischof, H. (2005). Fast Active Appearance Model Search based on CCA and its application to hand radiographs. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proceedings of the Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition} (pp. 49–56). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51330
  • A Sparse Image Representation Using Contourlets / Belbachir, A. N., & Göbel, P. (2005). A Sparse Image Representation Using Contourlets. In A. Hanbury & H. Bischof (Eds.), Proc. of 10th Computer Vision Winter Workshop (pp. 165–174). Eigenverlag. http://hdl.handle.net/20.500.12708/51318
  • Semi-automatic Segmentation of Textured Images / Micusik, B., & Hanbury, A. (2005). Semi-automatic Segmentation of Textured Images. In A. Hanbury & H. Bischof (Eds.), Proceedings of the 10th Computer Vision Winter Workshop (CVWW 2005) (pp. 53–62). Eigenverlag. http://hdl.handle.net/20.500.12708/51315
  • Classification of Color Pigments in Hyperspectral Images / Asinger, C., Kammerer, P., & Zolda, E. (2005). Classification of Color Pigments in Hyperspectral Images. In A. Hanbury & H. Bischof (Eds.), Proc. of the 10th Computer Vision Winter Workshop (pp. 205–214). Eigenverlag. http://hdl.handle.net/20.500.12708/51332
  • MDL-based Splitting of PCA Models / Langs, G., Peloschek, P. L., & Bischof, H. (2005). MDL-based Splitting of PCA Models. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 13–22). Eigenverlag. http://hdl.handle.net/20.500.12708/51296
  • Segmentation and Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., & Bischof, H. (2005). Segmentation and Surveying of Cutaneous Hemangiomas. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 103–112). Eigenverlag. http://hdl.handle.net/20.500.12708/51297
  • Robust Detection and Performance Evaluation of Individuals and Vehicles on an Airport's Apron / Aguilera Antequera, J., Kampel, M., & Blauensteiner, P. (2005). Robust Detection and Performance Evaluation of Individuals and Vehicles on an Airport’s Apron. In A. Hanbury & H. Bischof (Eds.), In Proc. of the Computer Vision Winter Workshop (pp. 145–154). Eigenverlag. http://hdl.handle.net/20.500.12708/51298
  • A Clique of Active Appearance Models by Minimum / Langs, G., Peloschek, P. L., Donner, R., & Bischof, H. (2005). A Clique of Active Appearance Models by Minimum. In Proceedings of the British Machine Vision Conference (pp. 859–868). British Machine Vision Association. http://hdl.handle.net/20.500.12708/51293
  • Proceedings of the 10th Computer Vision Winter Workshop CVWW 2005 / Hanbury, A., & Bischof, H. (Eds.). (2005). Proceedings of the 10th Computer Vision Winter Workshop CVWW 2005. Eigenverlag. http://hdl.handle.net/20.500.12708/22302
  • Analysis of Geometry and Documentation of NASCA Ceramics using 3D-Acquisiton / Mara, H., & Hecht, N. (2005). Analysis of Geometry and Documentation of NASCA Ceramics using 3D-Acquisiton. Forum Archaeologiae, HTTP://FARCH.NET. http://hdl.handle.net/20.500.12708/173379
  • 3D-Vision Applied in Archaeology / Mara, H., & Sablatnig, R. (2005). 3D-Vision Applied in Archaeology. Forum Archaeologiae, HTTP://FARCH.NET. http://hdl.handle.net/20.500.12708/173378
  • Robust 3D Reconstruction of Archaeological Pottery based on Concentric Circular Rills / Kampel, M., Sablatnig, R., & Mara, H. (2005). Robust 3D Reconstruction of Archaeological Pottery based on Concentric Circular Rills. In Proc. of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS05). SuviSoft. http://hdl.handle.net/20.500.12708/51335
  • Automated 3D-Scanning and Analyis of Archaeological Objects / Mara, H. (2005). Automated 3D-Scanning and Analyis of Archaeological Objects. In Proc. of the 24th Intl. Conference on Modelling, Identification and Control (MIC05) (pp. 388–392). ACTA Press. http://hdl.handle.net/20.500.12708/51334
  • Investigation on Traditional and Modern Ceramic Documentation / Kampel, M., Mara, H., & Sablatnig, R. (2005). Investigation on Traditional and Modern Ceramic Documentation. In G. Vernazza & G. Sicuranza (Eds.), Intl. Conf. on Image Processing (pp. 570–573). IEEE. http://hdl.handle.net/20.500.12708/51333
  • Detection and Analysis of Lines on the Surface of Arachaeological Pottery / Kammerer, P., Mara, H., Kratzmueller, bettina, & Zolda, E. (2005). Detection and Analysis of Lines on the Surface of Arachaeological Pottery. In V. Cappellini & J. Hemsley (Eds.), Electronic Imaging and the Visual Arts (pp. 154–159). Pitagora Editrice Bologna. http://hdl.handle.net/20.500.12708/51331
  • A Method for Determining Geometrical Distortion of Off-The-Shelf Wide-Angle Cameras / Zollner, H., & Sablatnig, R. (2005). A Method for Determining Geometrical Distortion of Off-The-Shelf Wide-Angle Cameras. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 224–229). Springer, LNCS. http://hdl.handle.net/20.500.12708/51328
  • A Method for Determining Geometrical Distortions of Off-the-shelf Wide-Angle Cameras / Zollner, H. (2005). A Method for Determining Geometrical Distortions of Off-the-shelf Wide-Angle Cameras. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proc. of Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 367–372). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51327
  • A Combined Multiresolution Approach for Faint Source Extraction from Infrared Astronomical Raw Images Sequence / Belbachir, A. N., & Göbel, P. (2005). A Combined Multiresolution Approach for Faint Source Extraction from Infrared Astronomical Raw Images Sequence. In M. Najim & E. Moulines (Eds.), Proc. of 13th IEEE Workshop on Statistical Signal Processing. IEEE. http://hdl.handle.net/20.500.12708/51326
  • Noise Estimation in Panoramic X-ray Images: An Application Analysis Approach / Göbel, P., & Belbachir, A. N. (2005). Noise Estimation in Panoramic X-ray Images: An Application Analysis Approach. In M. Najim & E. Moulines (Eds.), Proc. of 13th IEEE Workshop on Statistical Signal Processing. IEEE. http://hdl.handle.net/20.500.12708/51325
  • An automatic inspection system for the diagnosis of printed circuits based on neural networks / Belbachir, A. N., Lera, M., & Fanni, A. (2005). An automatic inspection system for the diagnosis of printed circuits based on neural networks. In IEEE Industry Applications Conference 2005 (pp. 680–684). IEEE. http://hdl.handle.net/20.500.12708/51324
  • A Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting / Dawson, C., See, L., Abrahart, R., Wilby, R., Shamseldin, A., Anctil, F., Belbachir, A. N., Bowden, G., Dandy, G., Lauzon, N., Maier, H., & Mason, G. (2005). A Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting. In Proc. of the IEEE International Joint Conference on Neural Networks (pp. 2666–2670). IEEE. http://hdl.handle.net/20.500.12708/51323
  • The Contourlet Transform for Image Compression / Belbachir, A. N., & Göbel, P. (2005). The Contourlet Transform for Image Compression. In P. Marthon (Ed.), Proc. of 4th Conference on Physics in Signal and Image Processing (pp. 251–256). SEE. http://hdl.handle.net/20.500.12708/51322
  • Background Removal in Dental Panoramic X-ray Images by the A-Trous Multiresolution Transform / Göbel, P., & Belbachir, A. N. (2005). Background Removal in Dental Panoramic X-ray Images by the A-Trous Multiresolution Transform. In Proc. of the 17th IEEE European Conference on Circuit Theory and Design (pp. 331–334). IEEE. http://hdl.handle.net/20.500.12708/51321
  • Blind Background Substraction in Dental Panoramic X-ray Images: An Application Approach / Göbel, P., & Belbachir, A. N. (2005). Blind Background Substraction in Dental Panoramic X-ray Images: An Application Approach. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 434–441). Springer, LNCS. http://hdl.handle.net/20.500.12708/51320
  • Color Image Compression: Early Vision and the Multiresolution Representations / Belbachir, A. N., & Göbel, P. (2005). Color Image Compression: Early Vision and the Multiresolution Representations. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 25–32). Springer, LNCS. http://hdl.handle.net/20.500.12708/51319
  • An Application Analysis Approach For Noise Estimation in Panoramic X-Ray Images / Göbel, P., & Belbachir, A. N. (2005). An Application Analysis Approach For Noise Estimation in Panoramic X-Ray Images. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proc. of Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 203–210). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51317
  • Steerable Semi-automatic Segmentation of Textured Images / Micusik, B., & Hanbury, A. (2005). Steerable Semi-automatic Segmentation of Textured Images. In H. Kalviainen, J. Parkkinen, & A. Kaarna (Eds.), 14th Scandinavian Conference on Image Analysis (SCIA) (pp. 35–44). Springer, LNCS. http://hdl.handle.net/20.500.12708/51316
  • Supervised Texture Detection in Images / Micusik, B., & Hanbury, A. (2005). Supervised Texture Detection in Images. In A. Gagalowicz & W. Philips (Eds.), Computer Analysis of Images and Patterns (CAI (pp. 441–448). Springer, LNCS. http://hdl.handle.net/20.500.12708/51314
  • Illumination-invariant morphological texture classification / Hanbury, A., Kandaswamy, U., & Adjeroh, D. (2005). Illumination-invariant morphological texture classification. In C. Ronse, L. Najman, & E. Decenciere (Eds.), Proceedings of the International Symposium on Mathematical Morphology (pp. 377–386). Springer. http://hdl.handle.net/20.500.12708/51313
  • Automated Scene Understanding for Airport Aprons / Ferryman, J., Borg, M., Thirde, D., Fusier, F., Valentin, V., Bremond, F., Thonnat, M., Aguilera Antequera, J., & Kampel, M. (2005). Automated Scene Understanding for Airport Aprons. In In Proc. of the Australian Joint Conference on Artificial Intelligence (pp. 593–603). Springer, LNAI. http://hdl.handle.net/20.500.12708/51305
  • Distributed Multi-Camera Surveillance for Aircraft Servicing Operations / Thirde, D., Borg, M., Ferryman, J., Aguilera Antequera, J., & Kampel, M. (2005). Distributed Multi-Camera Surveillance for Aircraft Servicing Operations. In International Symposium on Visual Computing 2005 (pp. 118–125). Springer, LNCS. http://hdl.handle.net/20.500.12708/51304
  • On the Detection of Individuals and Vehicles on an Airport's Apron / Aguilera Antequera, J., & Kampel, M. (2005). On the Detection of Individuals and Vehicles on an Airport’s Apron. In In Proc. of IEE International Conference on Visual Information Engineering (pp. 107–114). IEE. http://hdl.handle.net/20.500.12708/51303
  • Evaluation of Object Tracking for Aircraft Activity Surveillance / Thirde, D., Borg, M., Aguilera Antequera, J., Ferryman, J., Baker, K., & Kampel, M. (2005). Evaluation of Object Tracking for Aircraft Activity Surveillance. In R. Chellappa, J. Ferryman, & T. Tan (Eds.), In Proc. of the Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Beijing (pp. 145–152). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51302
  • Visual Surveillance for Aircraft Activity Monitoring / Thirde, D., Borg, M., Valentin, V., Fusier, F., Aguilera Antequera, J., Ferryman, J., Bremond, F., Thonnat, M., & Kampel, M. (2005). Visual Surveillance for Aircraft Activity Monitoring. In R. Chellappa, J. Ferryman, & T. Tan (Eds.), In Proc. of the Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (pp. 255–262). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51301
  • Evaluation of Motion Segmentation Quality for Aircraft Activity Surveillance / Aguilera Antequera, J., Wildenauer, H., Kampel, M., Borg, M., Thirde, D., & Ferryman, J. (2005). Evaluation of Motion Segmentation Quality for Aircraft Activity Surveillance. In R. Chellappa, J. Ferryman, & T. Tan (Eds.), In Proc. of the Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (pp. 293–300). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51300
  • An Evaluation of Error Metrics for the Segmentation of Moving Objects on an Airport's Apron / Wildenauer, H., Aguilera Antequera, J., & Kampel, M. (2005). An Evaluation of Error Metrics for the Segmentation of Moving Objects on an Airport’s Apron. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), In Proc. of the Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 119–126). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51299
    Project: AVITRACK (2004–2006)
  • Grouping of Non-connected Structures by an Irregular Graph Pyramid / Kropatsch, W., & Haxhimusa, Y. (2005). Grouping of Non-connected Structures by an Irregular Graph Pyramid. In J. Marques, N. P. de la Blanca, & P. Pina (Eds.), Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA 2005 (pp. 107–114). Springer, LNCS. http://hdl.handle.net/20.500.12708/51284
  • Integral trees: Subtree depth and diameter, PRIP TR-092 / Kropatsch, W., Haxhimusa, Y., & Pizlo, Z. (2005). Integral trees: Subtree depth and diameter, PRIP TR-092. http://hdl.handle.net/20.500.12708/33045
  • Pattern Recognition: 27th DAGM Symposium / Kropatsch, W., Sablatnig, R., & Hanbury, A. (Eds.). (2005). Pattern Recognition: 27th DAGM Symposium. Springer, LNCS. http://hdl.handle.net/20.500.12708/22301

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  • On-board processing for an infrared observatory / Belbachir, A. N. (2004). On-board processing for an infrared observatory [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-10539
    Download: PDF (10.3 MB)
  • Geometry education with augmented reality / Kaufmann, H. (2004). Geometry education with augmented reality [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-12667
    Download: PDF (4.23 MB)

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  • Hannes Kaufmann: Houska Price Finalist
    2015 / Houskapreis / Austria
  • Hannes Kaufmann: Winner of the Kardinal-Innitzer Förderpreis
    2013 / Kardinal-Innitzer-Preis / Austria
  • Hannes Kaufmann: Winner of the INiTS Award (1st place)for "3D Building Reconstruction and Thermal Mapping in Fire Brigade Operations"
    2013 / INiTS-Award / Austria
  • Walter Kropatsch: President of the International Association for Pattern Recognition
    2004
  • Walter Kropatsch: 1st Vice-President of the IAPR.
    2002
  • Hannes Kaufmann: Research Grant by Vienna University of Technology (2000-2001)
    2000 / Austria
  • Hannes Kaufmann: Windhag Stipend
    1999 / Niederösterreichische Landesregierung / Austria
  • Walter Kropatsch: Treasurer of the IAPR.
    1998
  • Walter Kropatsch: FELLOW of the IAPR.
    1994

Soon, this page will include additional information such as reference projects, conferences, events, and other research activities.

Until then, please visit Virtual and Augmented Reality’s research profile in TISS .