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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
Walter Kropatsch

About

1) Theoretical and practical research in digital image processing2) Pattern recognition3) Remote sensing4) Art history, archeology, industry5) Analysis of medical imagery6) Digital elevation models7) Expert vision systems and image pyramids.

Role

Contact

2024W

2025S

 

2024

  • Distance transform in images and connected plane graphs / Majid Banaeyan, & Kropatsch, W. (2024). Distance transform in images and connected plane graphs. In M. De Marsico, G. Sanniti di Baja, & A. Fred (Eds.), Pattern Recognition Applications and Methods : 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers (pp. 19–32). Springer. https://doi.org/10.1007/978-3-031-54726-3_2
    Project: Watergate (2020–2024)

2023

  • Reducing the Computational Complexity of the Eccentricity Transform of a Tree / Majid Banaeyan, & Kropatsch, W. (2023). Reducing the Computational Complexity of the Eccentricity Transform of a Tree. In M. Vento, P. Foggia, D. Conte, & V. Carletti (Eds.), Graph-Based Representations in Pattern Recognition (pp. 160–171). https://doi.org/10.1007/978-3-031-42795-4_15
    Project: Watergate (2020–2024)
  • Distance Transform in Parallel Logarithmic Complexity / Banaeyan, M., & Kropatsch, W. (2023). Distance Transform in Parallel Logarithmic Complexity. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM 2023 (pp. 115–123). SciTePress, Science and Technology Publications. https://doi.org/10.5220/0011681500003411
    Download: PDF (4.6 MB)
    Project: Watergate (2020–2024)

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 (2020–2024)
  • Removing Redundancies in Binary Images / Banaeyan, M., Batavia, D., & Kropatsch, W. (2022). Removing Redundancies in Binary Images. In 2nd International Conference on Intelligent Systems and Patterns Recognition (ISPR) (pp. 221–233). https://doi.org/10.1007/978-3-031-08277-1_19
  • Parallel O(log(n)) Computation of the Adjacency of Connected Components / Banaeyan, M., & Kropatsch, W. (2022). Parallel O(log(n)) Computation of the Adjacency of Connected Components. In 3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) (pp. 102–113). https://doi.org/10.1007/978-3-031-09282-4_9
  • Fast Distance Transforms in Graphs and in Gmaps / Banaeyan, M., Carratù, C., Kropatsch, W., & Hladůvka, J. (2022). Fast Distance Transforms in Graphs and in Gmaps. In Structural, Syntactic, and Statistical Pattern Recognition (pp. 193–202). https://doi.org/10.1007/978-3-031-23028-8_20
  • 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

2019

  • 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
  • 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 Computer Vision – ECCV 2018 Workshops Munich, Germany, September 8-14, 2018, Proceedings, Part VI (pp. 606–624). Springer LNCS. https://doi.org/10.1007/978-3-030-11024-6_46
  • 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
  • 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

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. 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, Czechia. http://hdl.handle.net/20.500.12708/86741
  • 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
  • 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

  • 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
  • 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, United Kingdom of Great Britain and Northern Ireland (the). 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 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
  • 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
  • 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
  • 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. http://hdl.handle.net/20.500.12708/86345
  • 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
  • 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
  • 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

2015

2014

  • 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, Sweden. http://hdl.handle.net/20.500.12708/85911
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

2011

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

2008

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

2005

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

2004

2003

2002

 

  • President of the International Association for Pattern Recognition
    2004
  • 1st Vice-President of the IAPR.
    2002
  • Treasurer of the IAPR.
    1998
  • FELLOW of the IAPR.
    1994

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Walter Kropatsch’s research profile in TISS .