Walter Kropatsch

Em.O.Univ.Prof. Dipl.-Ing. Dr.techn.

Research Focus

Visual Computing and Human-Centered Technology: 100%

Research Areas

Graph-based representations, Cognitive Vision, digital topology in images, Motion detection, Motion Tracking, hierarchical methods, Image representations

About

1) Theoretical and practical research in digital image processing 2) Pattern recognition 3) Remote sensing 4) Art history, archeology, industry 5) Analysis of medical imagery 6) Digital elevation models 7) Expert vision systems and image pyramids.

Role

Emerit. Professor
Virtual and Augmented Reality, E193-03

Contact

Courses

2022W

Bachelor Thesis / 193.116 / PR
Diploma Seminar / 183.293 / SE
Doctoral Seminar / 183.304 / SE
PhD Seminar / 193.083 / SE
Project in Visual Computing 1 / 193.073 / PR
Project in Visual computing 2 / 193.074 / PR
Research seminar for PhD students / 193.119 / SE
Visual Computing Project 1 / 194.084 / PR

2023S

Bachelor Thesis / 193.116 / PR
Diploma Seminar / 183.293 / SE
Doctoral Seminar / 183.304 / SE
PhD Seminar / 193.083 / SE
Research seminar for PhD students / 193.119 / SE
Seminar for Master Students in Visual Computing / 180.774 / SE
Visual Computing Project 2 / 194.090 / PR

Projects

Water's gateway to heaven: 3D imaging and modeling of transient stomatal responses in plant leaves under dynamic environments
2020 – 2024 / Vienna Science and Technology Fund (WWTF) / Publication: 148438
Embedded Image Warping for VR on the Basis of the Image-Pyramid Model
2015 – 2016 / INDIECAM GmbH
Development of a software-prototype for semi-automatical digitization of books with follow-up corrections.
2014 – 2015 / Markus Reithofer
Next-Generation Wrapping from Print-Oriented Documents
2011 – 2013 / Austrian Research Promotion Agency (FFG)
Analysis of documents of curricula vitae
2010 / JoinVision E-Services GmbH
Computing Homology within Image Context
2008 – 2011 / Austrian Science Fund (FWF)
Representations for Cognitive Processes
2007 – 2009 / Austrian Science Fund (FWF)
Tracking with structure in Computer Vision
2006 – 2009 / Austrian Science Fund (FWF)

Publications

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2022

Fast Labeled Spanning Tree in Binary Irregular Graph Pyramids / Banaeyan, M., & Kropatsch, W. (2022). Fast Labeled Spanning Tree in Binary Irregular Graph Pyramids. Journal of Engineering Research and Sciences, 1(10), 69–78. https://doi.org/10.55708/js0110009 / Project: Watergate
Implicit Encoding and Simplification/Reduction of nGmaps / Bogner, F., Hladůvka, J., & Kropatsch, W. (2022). Implicit Encoding and Simplification/Reduction of nGmaps. In Discrete Geometry and Mathematical Morphology (pp. 110–122). https://doi.org/10.1007/978-3-031-19897-7_10

2021

Pyramidal Connected Component Labeling by Irregular Graph Pyramid / Banaeyan, M., & Kropatsch, W. G. (2021). Pyramidal Connected Component Labeling by Irregular Graph Pyramid. In M. Banaeyan & W. Kropatsch (Eds.), 2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA). IEEE. https://doi.org/10.1109/ipria53572.2021.9483533

2020

Border Propagation: A Novel Approach to Determine Slope Region Decompositions / Bogner, A., Palmrich, A., & Kropatsch, W. (2020). Border Propagation: A Novel Approach to Determine Slope Region Decompositions. In Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020 (p. 6). https://doi.org/10.3217/978-3-85125-752-6-31
The Difficulties of Detecting Deformable Objects Using Deep Neural Networks / Djukic, N., Kropatsch, W., & Vincze, M. (2020). The Difficulties of Detecting Deformable Objects Using Deep Neural Networks. In Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020 (p. 6). https://doi.org/10.3217/978-3-85125-752-6-30

2019

Counting Slope Regions in the Surface Graphs / Batavia, D., Kropatsch, W., Gonzalez-Diaz, R., & Casablanca, R. M. (2019). Counting Slope Regions in the Surface Graphs. In Proc. 24th Computer Vision Winter Workshop (p. 9). http://hdl.handle.net/20.500.12708/57863
Partitioning 2D Images into Prototypes of Slope Region / Batavia, D., Hladuvka, J., & Kropatsch, W. (2019). Partitioning 2D Images into Prototypes of Slope Region. In Proc. 18th Intl. Conference on Computer Analysis of Images and Patterns, volume LNCS 11678 (pp. 363–374). http://hdl.handle.net/20.500.12708/57859
Congratulations! Dual Graphs Are Now Orientated! / Batavia, D., Kropatsch, W. G., Casablanca, R. M., & Gonzalez-Diaz, R. (2019). Congratulations! Dual Graphs Are Now Orientated! In Graph-Based Representations in Pattern Recognition (pp. 131–140). https://doi.org/10.1007/978-3-030-20081-7_13
Non-centered Voronoi Skeletons / Langer, M., Gabdulkhakova, A., & Kropatsch, W. G. (2019). Non-centered Voronoi Skeletons. In Discrete Geometry for Computer Imagery (pp. 355–366). https://doi.org/10.1007/978-3-030-14085-4_28
Computing and Reducing Slope Complexes / Kropatsch, W. G., Casablanca, R. M., Batavia, D., & Gonzalez-Diaz, R. (2019). Computing and Reducing Slope Complexes. In Computational Topology in Image Context (pp. 12–25). https://doi.org/10.1007/978-3-030-10828-1_2
On the Space Between Critical Points / Kropatsch, W. G., Casablanca, R. M., Batavia, D., & Gonzalez-Diaz, R. (2019). On the Space Between Critical Points. In Discrete Geometry for Computer Imagery (pp. 115–126). https://doi.org/10.1007/978-3-030-14085-4_10
ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset / Kniaz, V. V., Knyaz, V. A., Hladůvka, J., Kropatsch, W. G., & Mizginov, V. (2019). ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset. In Lecture Notes in Computer Science (pp. 606–624). Springer LNCS. https://doi.org/10.1007/978-3-030-11024-6_46
Interactive segmentation and contour extractionfor automatic phenotyping of Lipizzaner horses / Pucher, D., & Kropatsch, W. (2019). Interactive segmentation and contour extractionfor automatic phenotyping of Lipizzaner horses. http://hdl.handle.net/20.500.12708/39793

2018

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
Line voronoi diagrams using elliptical distances. / Gabdulkhakova, A., Langer, M., Langer, B., & Kropatsch, W. (2018). Line voronoi diagrams using elliptical distances. In Lecture Notes in Computer Science. Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-319-97785-0

2017

Special Issue "Advances in Graph-based Pattern Recognition" Editorial / Liu, C.-L., Luo, B., & Kropatsch, W. (2017). Special Issue “Advances in Graph-based Pattern Recognition” Editorial. Pattern Recognition Letters, 87, 1–3. https://doi.org/10.1016/j.patrec.2016.10.008
Discrete Geometry for Computer Imagery / Kropatsch, W., Artner, N., & Janusch, I. (Eds.). (2017). Discrete Geometry for Computer Imagery. Springer International Publishing. https://doi.org/10.1007/978-3-319-66272-5
Euclidean and Geodesic Distance Profiles / Janusch, I., Artner, N., & Kropatsch, W. (2017). Euclidean and Geodesic Distance Profiles. In International Conference on Discrete Geometry for Computer Imagery DGCI 2017: Discrete Geometry for Computer Imagery (pp. 307–318). Springer International Publishing. http://hdl.handle.net/20.500.12708/57088
Analysis and Calibration of a Mirror Setup producing Mirror-reflected, Multi-view Videos / Mucciolo, G., Koneczny, B., Saggese, A., Artner, N., Kropatsch, W., & vento, M. (2017). Analysis and Calibration of a Mirror Setup producing Mirror-reflected, Multi-view Videos. In Proceedings of the 22nd Computer Vision Winter Workshop 2017 (p. 9). http://hdl.handle.net/20.500.12708/57087
From trajectories to behaviors: an algorithm to track and describe dancing birds / Oliva, L., Saggese, A., Artner, N., Kropatsch, W., & vento, M. (2017). From trajectories to behaviors: an algorithm to track and describe dancing birds. In Proceedings of the 22nd Computer Vision Winter Workshop 2017 (p. 9). http://hdl.handle.net/20.500.12708/57086
LBP Scale Space Origins for Shape Classification / Janusch, I., & Kropatsch, W. (2017). LBP Scale Space Origins for Shape Classification. In Proceedings of the 22nd Computer Vision Winter Workshop 2017 (p. 9). http://hdl.handle.net/20.500.12708/57084
Freeform Architecture and Discrete Differential Geometry / Pottmann, H., & Wallner, J. (2017). Freeform Architecture and Discrete Differential Geometry. In W. Kropatsch, N. Artner, & I. Janusch (Eds.), Discrete Geometry for Computer Imagery (pp. 3–8). Springer. https://doi.org/10.1007/978-3-319-66272-5_1
Proceedings of the 22nd Computer Vision Winter Workshop 2017 / Artner, N., Janusch, I., & Kropatsch, W. (Eds.). (2017). Proceedings of the 22nd Computer Vision Winter Workshop 2017. PRIP, TU Wien. http://hdl.handle.net/20.500.12708/24354

2016

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
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
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 Lecture Notes in Computer Science (pp. 412–423). Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-319-49055-7_37
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
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
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
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

Evaluating and Grading Students in Large-Scale Image Processing Lectures / Artner, N. M., Janusch, I., & Kropatsch, W. G. (2015). Evaluating and Grading Students in Large-Scale Image Processing Lectures. IEEE Computer Graphics and Applications, 35(5), 101-c3. https://doi.org/10.1109/mcg.2015.107
Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images / Dvořák, P., Bartušek, K., Kropatsch, W. G., & Smékal, Z. (2015). Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images. Journal of Applied Research and Technology, 13(1), 58–69. https://doi.org/10.1016/s1665-6423(15)30005-5
Preface of Special Issue on "Graph-based Processing for Pattern Recognition / Kropatsch, W., Artner, N., Haxhimusa, Y., & Jiang, X. (2015). Preface of Special Issue on "Graph-based Processing for Pattern Recognition. Pattern Recognition, 48(2), 289–290. https://doi.org/10.1016/j.patcog.2014.08.018
Pattern mining and fault detection via \textitCOP_\textittherm-based profiling with correlation analysis of circuit variables in chiller systems / Malinao, J., Judex, F., Selke, T., Zucker, G., Caro, J., & Kropatsch, W. (2015). Pattern mining and fault detection via \textitCOP_\textittherm-based profiling with correlation analysis of circuit variables in chiller systems. Computer Science - Research and Development, 31(1–2), 79–87. https://doi.org/10.1007/s00450-014-0277-5
Novel Concepts for Recognition and Representation of Structure in Spatio-Temporal Classes of Images / Janusch, I., & Kropatsch, W. (2015). Novel Concepts for Recognition and Representation of Structure in Spatio-Temporal Classes of Images. 20 th Computer Vision Winter Workshop, CVWW 2015, Österreich, Steiermark, Schloss Seggau, Austria. http://hdl.handle.net/20.500.12708/86159
Ellipse-based skeletons and elliptical coordinates / Kropatsch, W. (2015). Ellipse-based skeletons and elliptical coordinates. WTZ workshop on “Multi-scale approaches for Robust Medical Image Analysis,” Frankreich, Le Puy, EU. http://hdl.handle.net/20.500.12708/86156
Smooth and iteratively restore: A simple and fast edge-preserving smoothing model / Kniefacz, P., & Kropatsch, W. (2015). Smooth and iteratively restore: A simple and fast edge-preserving smoothing model. In A. Uhl & R. Kwitt (Eds.), Proceedings of the ÖAGM Workshop 2015, Salzburg, Austria, May 2015 (p. 9). http://hdl.handle.net/20.500.12708/55194
Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem / de Sousa, S., & Kropatsch, W. G. (2015). Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem. In Graph-Based Representations in Pattern Recognition (pp. 13–22). Springer International Publishing. https://doi.org/10.1007/978-3-319-18224-7_2
Ellipse-Fitting Approaches Based On Medial Representation / Gabdulkhakova, A., & Kropatsch, W. (2015). Ellipse-Fitting Approaches Based On Medial Representation. In Proceedings of 3rd International Conference on Intelligent Technologies for Information Processing and Management (ITIPM´2015) (pp. 168–172). http://hdl.handle.net/20.500.12708/56299
A combined distance measure for 2D shape matching / Ramachandran, G., & Kropatsch, W. (2015). A combined distance measure for 2D shape matching. In International Conference on Computer Vision and Image Analysis Applications. International Conference on Computer Vision and Image Analysis, ICCVIA2015, Tunesien, Suisse, Non-EU. IEEE: Computer Vision and Image Analysis Applications (ICCVIA), 2015 International Conference on. https://doi.org/10.1109/iccvia.2015.7351875
Reeb Graphs Through Local Binary Patterns / Janusch, I., & Kropatsch, W. G. (2015). Reeb Graphs Through Local Binary Patterns. In Graph-Based Representations in Pattern Recognition (pp. 54–63). Springer International Publishing. https://doi.org/10.1007/978-3-319-18224-7_6
LBP and Irregular Graph Pyramids / Cerman, M., Gonzalez-Diaz, R., & Kropatsch, W. (2015). LBP and Irregular Graph Pyramids. In N. Petkov & G. Azzopardi (Eds.), Computer Analysis of Images and Patterns (pp. 687–699). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-23117-4_59
The minimum spanning tree of maximum entropy / de Sousa, S., & Kropatsch, W. (2015). The minimum spanning tree of maximum entropy. In Proceedings of the ÖAGM Workshop 2015, Salzburg, Austria, May 2015 (p. 7). http://hdl.handle.net/20.500.12708/56177
Novel concepts for recognition and representation of structure in spatio-temporal classes of images / Janusch, I., & Kropatsch, W. (2015). Novel concepts for recognition and representation of structure in spatio-temporal classes of images. In Proceedings of the 20th Computer Vision Winter Workshop Seggau, Austria (pp. 49–56). TU Graz. https://doi.org/10.3217/978-3-85125-388-7
Towards Segmentation of Human Teeth Contours in Dental Radiographs using Active Shape Models / Sprinzl, M., Kropatsch, W., Sablatnig, R., & Langs, G. (2015). Towards Segmentation of Human Teeth Contours in Dental Radiographs using Active Shape Models. In Symposium on Statistical Shape Modelling and Applications - Porceedings (p. 10). http://hdl.handle.net/20.500.12708/56154
Towards Segmentation of Human Teeth Contours in Dental Radiographs Using Active Shape Models / Sprinzl, M., Kropatsch, W., Langs, G., & Sablatnig, R. (2015). Towards Segmentation of Human Teeth Contours in Dental Radiographs Using Active Shape Models. In Proceedings of the 20th Computer Vision Winter Workshop (pp. 11–20). https://doi.org/10.3217/978-3-85125-388-7
Graph-Based Representations in Pattern Recognition / Graph-Based Representations in Pattern Recognition. (2015). In C.-L. Liu, B. Luo, W. Kropatsch, & J. Cheng (Eds.), Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-319-18224-7

2014

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
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
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
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
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
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
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
Three-Dimensional surface-imaging systems. / Tzou, C.-H. J., Artner, N., & Kropatsch, W. (2013). Three-Dimensional surface-imaging systems. Plastic and Reconstructive Surgery, 131(4), 668e–670e. https://doi.org/10.1097/prs.0b013e3182827abe
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
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
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
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 Lecture Notes in Computer Science. 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
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
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
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
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
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
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
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
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
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
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
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
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

2011

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
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
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
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
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
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
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 Lecture Notes in Bioinformatics, The 6th IAPR International Conference on Pattern Recognition in Bioinformatics, volume 7036 (pp. 318–329). Lecture Notes in Bioinformatics. http://hdl.handle.net/20.500.12708/53913
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
Characterizing Obstacle- Avoiding Paths using Cohomology Theory / Dlotko, P., Kropatsch, W., & Wagner, H. (2011). Characterizing Obstacle- Avoiding Paths using Cohomology Theory. In Lecture Notes in Computer Science (pp. 310–317). 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/20.500.12708/53908
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
Hierarchical Interactive Image Segmentation using Irregular Pyramids / Gerstmayer, M., Haxhimusa, Y., & Kropatsch, W. (2011). Hierarchical Interactive Image Segmentation using Irregular Pyramids. In Lecture Notes in Computer Science 6658 (pp. 245–254). Springer-Verlag Berlin Heidelberg 2011. http://hdl.handle.net/20.500.12708/53887
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
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
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
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
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
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

2009

Approximative Graph Pyramid Solution of the E-TSP / Haxhimusa, Y., Kropatsch, W., Pizlo, Z., & Ion, A. (2009). Approximative Graph Pyramid Solution of the E-TSP. Image and Vision Computing, 27(7), 887–896. http://hdl.handle.net/20.500.12708/165299
When Pyramids Learned Walking / Kropatsch, W. (2009). When Pyramids Learned Walking. In 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009) (pp. 397–414). http://hdl.handle.net/20.500.12708/53052
Open Issues and Chances for Topological Pyramids / Kropatsch, W., & Molina Abril, H. (2009). Open Issues and Chances for Topological Pyramids. In cvww (pp. 121–125). http://hdl.handle.net/20.500.12708/52934
Homological Tree-Based Strategies for Image Analysis / Real, P., Molina Abril, H., & Kropatsch, W. (2009). Homological Tree-Based Strategies for Image Analysis. In The 13th International Conference on Computer Analysis of Images and Patterns (CAIP) (pp. 326–333). Springer. http://hdl.handle.net/20.500.12708/52931
Adaptive Dominant Point Detector for Visual Landmark Description / Antunez, E., Marfill, R., Bandera, A., Vazquez-Martin, R., & Kropatsch, W. (2009). Adaptive Dominant Point Detector for Visual Landmark Description. In Visual Learning (pp. 189–200). OCG. http://hdl.handle.net/20.500.12708/52930
Tracking Articulated Objects Using Structure / Artner, N., Ion, A., & Kropatsch, W. (2009). Tracking Articulated Objects Using Structure. In Proceedings of the Computer Vision Winter Workshop 2009 (pp. 51–58). http://hdl.handle.net/20.500.12708/52922
Irregular Graph Pyramids and Representative Cocycles of Cohomology Generators / González-Díaz, R., Ion, A., Iglesias-Ham, M., & Kropatsch, W. (2009). Irregular Graph Pyramids and Representative Cocycles of Cohomology Generators. In Proceedings of the 7th IAPR-TC15 International Workshop on Graph-based Representations in Pattern Recognition (pp. 263–272). Springer. http://hdl.handle.net/20.500.12708/52920
Tracking Objects Beyond Rigid Motion / Artner, N., Ion, A., & Kropatsch, W. (2009). Tracking Objects Beyond Rigid Motion. In Proceedings of the 7th IAPR-TC15 International Workshop on Graph-based Representations in Pattern Recognition (pp. 82–91). Springer. http://hdl.handle.net/20.500.12708/52921
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System / Artner, N., Ion, A., & Kropatsch, W. (2009). Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System. In The 13th International Conference on Computer Analysis of Images and Patterns (CAIP) (pp. 1011–1018). http://hdl.handle.net/20.500.12708/52919
An Improved Coordinate System for Point Correspondences of 2D Articulated Shapes / Ion, A., Haxhimusa, Y., & Kropatsch, W. (2009). An Improved Coordinate System for Point Correspondences of 2D Articulated Shapes. In 15th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI) (pp. 92–103). http://hdl.handle.net/20.500.12708/52918
Object Classification by Topology of Convex Deficiencies / Iglesias_Ham, M., Kropatsch, W., González-Díaz, R., & Ion, A. (2009). Object Classification by Topology of Convex Deficiencies. In Computational Topology in Image Context, CTIC 2009 (pp. 75–81). http://hdl.handle.net/20.500.12708/52917
Rigid Part Decomposition in a Graph Pyramid / Artner, N., Ion, A., & Kropatsch, W. (2009). Rigid Part Decomposition in a Graph Pyramid. In 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009) (pp. 758–765). http://hdl.handle.net/20.500.12708/52916
Tracking Using a Hierarchical Structural Representation / Artner, N., & Kropatsch, W. (2009). Tracking Using a Hierarchical Structural Representation. In 33rd Workshop of the Austrian Association of Pattern Recognition (AAPR/OAGM) (pp. 249–260). OCG. http://hdl.handle.net/20.500.12708/52901
Combining an Optical Flow Feature Detector with Graph-Based Segmentation / Stubenschrott, M., Kropatsch, W., & Haxhimusa, Y. (2009). Combining an Optical Flow Feature Detector with Graph-Based Segmentation. In Proceedings of the Computer Vision Winter Workshop 2009 (pp. 91–98). http://hdl.handle.net/20.500.12708/52923
Workshop on Computational Topology in Image Context 2009 / Kropatsch, W., Molina Abril, H., & Ion, A. (Eds.). (2009). Workshop on Computational Topology in Image Context 2009. PRIP, TU Wien. http://hdl.handle.net/20.500.12708/23008
Proceedings of the Computer Vision Winter Workshop 2009 / Ion, A., & Kropatsch, W. (Eds.). (2009). Proceedings of the Computer Vision Winter Workshop 2009. PRIP, TU Wien. http://hdl.handle.net/20.500.12708/22796

2008

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
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
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
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
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
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
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
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
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

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
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
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
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
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

2006

Traveling Salesman Problem: A Foveating Pyramid Model / Pizlo, Z., Stefanov, E., Saalweachter, J., Haxhimusa, Y., & Kropatsch, W. (2006). Traveling Salesman Problem: A Foveating Pyramid Model. The Journal of Problem Solving, 1(1), 83–101. http://hdl.handle.net/20.500.12708/173432
Contains and Inside Relationships within Combinatorial Pyramids / Brun, L., & Kropatsch, W. (2006). Contains and Inside Relationships within Combinatorial Pyramids. Pattern Recognition, 39(4), 515–526. http://hdl.handle.net/20.500.12708/173407
Irregular Pyramid Segmentations with Stochastic Graph Decimation Strategies / Haxhimusa, Y., Ion, A., & Kropatsch, W. (2006). Irregular Pyramid Segmentations with Stochastic Graph Decimation Strategies. In Progress in Pattern Recognition, Image Analysis and Applications (pp. 277–286). Springer. http://hdl.handle.net/20.500.12708/51552
Collapsing 3D Combinatorial Maps / Illetschko, T., Ion, A., Haxhimusa, Y., & Kropatsch, W. (2006). Collapsing 3D Combinatorial Maps. In Digital Imaging and Pattern Recognition (pp. 85–93). OCG. http://hdl.handle.net/20.500.12708/51551
Comparing Hierarchies of Segmentations: Humans, Normalized Cut, and Minimum Spanning Tree / Haxhimusa, Y., Ion, A., & Kropatsch, W. (2006). Comparing Hierarchies of Segmentations: Humans, Normalized Cut, and Minimum Spanning Tree. In Digital Imaging and Pattern Recognition (pp. 95–103). OCG. http://hdl.handle.net/20.500.12708/51550
Considerations Regarding the Minimum Spanning Tree Pyramid Segmentation Method / Ion, A., Kropatsch, W., & Haxhimusa, Y. (2006). Considerations Regarding the Minimum Spanning Tree Pyramid Segmentation Method. In Structural, Syntactic, and Statistical Pattern Recognition (pp. 182–190). Springer. http://hdl.handle.net/20.500.12708/51549
Distinguishing the 3 Primitive 3D-topological Configurations: Simplex, Hole, Tunnel / Illetschko, T., Ion, A., Haxhimusa, Y., & Kropatsch, W. (2006). Distinguishing the 3 Primitive 3D-topological Configurations: Simplex, Hole, Tunnel. In Proceedings of the 11th Computer Vision Winter Workshop (pp. 22–27). http://hdl.handle.net/20.500.12708/51548
The Eccentricity Transform (of a digital shape) / Kropatsch, W., Ion, A., Haxhimusa, Y., & Flanitzer, T. (2006). The Eccentricity Transform (of a digital shape). In Discrete Geometry for Computer Imagery (pp. 437–448). Springer Berlin-Heidelberg. http://hdl.handle.net/20.500.12708/51547
Evaluating Hierarchical Graph-based Segmentation / Haxhimusa, Y., Ion, A., & Kropatsch, W. (2006). Evaluating Hierarchical Graph-based Segmentation. In The 18th International Conference on Pattern Recognition (pp. 195–198). IEEE Society. http://hdl.handle.net/20.500.12708/51546
How Humans Describe Short Videos / Ion, A., Hausegger, H., Kropatsch, W., & Haxhimusa, Y. (2006). How Humans Describe Short Videos. In Proceedings of the Second International Cognitive Vision Workshop. ICVW06, Second International Cognitive Vision Workshop, Graz, Austria. http://hdl.handle.net/20.500.12708/51545
13. Hiearchies relating Topology and Geometry / Kropatsch, W., Haxhimusa, Y., & Lienhardt, P. (2006). 13. Hiearchies relating Topology and Geometry. In Cognitive Vision Systems: Sampling the Spectrum of Approaches (pp. 199–220). Springer LNCS. http://hdl.handle.net/20.500.12708/25392

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
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
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
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
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
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
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
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
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
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
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

2004

Concept of a fully automated web-based scoring system for desctructive changes by rheumatoid arthritis - RheumaCoachCAD / Peloschek, P. L., Langs, G., Bischof, H., Kropatsch, W., & Imhof, H. (2004). Concept of a fully automated web-based scoring system for desctructive changes by rheumatoid arthritis - RheumaCoachCAD. In European Society of Muscoloskeletal Radiology Meeting ESSR 2004. European Society of Muscoloskeletal Radiology. http://hdl.handle.net/20.500.12708/50983
Automated joint localization, estimation of the bone contour and consecutive detection of defects of the bone contour in metacarpal bones for computer aided diagnosis (CAD) in rheumatoid arthritis / Peloschek, P. L., Langs, G., Bischof, H., Kropatsch, W., Imhof, H., & Kainberger, F. (2004). Automated joint localization, estimation of the bone contour and consecutive detection of defects of the bone contour in metacarpal bones for computer aided diagnosis (CAD) in rheumatoid arthritis. In European Congress of Radiology, ECR 2004. European Congress of Radiology. http://hdl.handle.net/20.500.12708/50982

2003

Receptive fields within the Combinatorial Pyramid Framework / Brun, L., & Kropatsch, W. (2003). Receptive fields within the Combinatorial Pyramid Framework. Graphical Models, 65(1–3), 23–42. http://hdl.handle.net/20.500.12708/174796
Development of a system for Computer aided diagnosis (CAD) in rheumatoid arthritis (2) automated accurate estimation of the bony contour of metacarpal bones / Peloschek, P. L., Langs, G., Bischof, H., Kainberger, F., Kropatsch, W., & Imhof, H. (2003). Development of a system for Computer aided diagnosis (CAD) in rheumatoid arthritis (2) automated accurate estimation of the bony contour of metacarpal bones. In Proceedings of European Societa of Muscoskeletal Radiology Meeting ESSR 2003. European Society of Muscoskeletal Radiology Meeting ESSR, Aarhus, Denmark, Austria. http://hdl.handle.net/20.500.12708/50957
Development of a System for Computer aided diagnosis (CAD) in rheumatoid Arthritis (1): automated joint localization in handradiographs / Peloschek, P. L., Langs, G., Bischof, H., Kainberger, F., Kropatsch, W., & Imhof, H. (2003). Development of a System for Computer aided diagnosis (CAD) in rheumatoid Arthritis (1): automated joint localization in handradiographs. In Proceedings of European Society of Musculoskeletal Radiology Meeting ESSR 2003 (p. 1). http://hdl.handle.net/20.500.12708/50956
Hierarchical Image Partitioning with Dual Graph Contraction / Haxhimusa, Y., & Kropatsch, W. (2003). Hierarchical Image Partitioning with Dual Graph Contraction. http://hdl.handle.net/20.500.12708/32923
Experimental Results of MIS, MIES, MIDES and D3P / Haxhimusa, Y., & Kropatsch, W. (2003). Experimental Results of MIS, MIES, MIDES and D3P. http://hdl.handle.net/20.500.12708/32919

2002

Irregular Eigenimage Pyramids and Robust Appearance-Based Object Recognition / Langs, G., Bischof, H., & Kropatsch, W. (2002). Irregular Eigenimage Pyramids and Robust Appearance-Based Object Recognition. http://hdl.handle.net/20.500.12708/32811
Reduction Factors of Pyramids on Undirected and Directed Graphs / Haxhimusa, Y., & Kropatsch, W. (2002). Reduction Factors of Pyramids on Undirected and Directed Graphs. http://hdl.handle.net/20.500.12708/32810

Supervisions