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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Sprinzl, M., Kropatsch, W., Langs, G., & Sablatnig, R. (2015). Towards Segmentation of Human Teeth Contours in Dental Radiographs Using Active Shape Models. In P. Wolhart (Ed.), Proceedings of the 20th Computer Vision Winter Workshop (pp. 11–20). Verlag der Technischen Universität Graz. http://hdl.handle.net/20.500.12708/55838 ( reposiTUm)

Janusch, I., & Kropatsch, W. (2015). Novel concepts for recognition and representation of structure in spatio-temporal classes of images. In P. Wohlhart & V. Lepetit (Eds.), Proceedings of the 20th Computer Vision Winter Workshop Seggau, Austria (pp. 49–56). TU Graz. http://hdl.handle.net/20.500.12708/56171 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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, Suisse, Tunisia. IEEE: Computer Vision and Image Analysis Applications (ICCVIA), 2015 International Conference on. https://doi.org/10.1109/iccvia.2015.7351875 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Kropatsch, W., Sablatnig, R., & Hanbury, A. (Eds.). (2005). Pattern Recognition: 27th DAGM Symposium. Springer, LNCS. http://hdl.handle.net/20.500.12708/22301 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Kropatsch, W. (2015). Ellipse-based skeletons and elliptical coordinates. WTZ workshop on “Multi-scale approaches for Robust Medical Image Analysis,” Le Puy, France. http://hdl.handle.net/20.500.12708/86156 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Kropatsch, W. (2012). Representing Vision Embedding Spaces. GS Workshop on Computer Vision and Perception, Prag, EU. http://hdl.handle.net/20.500.12708/85406 ( reposiTUm)

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 ( reposiTUm)

Kropatsch, W. (2011). The Walking Pyramid. International Conference STCC 2011, Sinaia, Rumänien, EU. http://hdl.handle.net/20.500.12708/85214 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Pucher, D., & Kropatsch, W. (2019). Interactive segmentation and contour extractionfor automatic phenotyping of Lipizzaner horses. http://hdl.handle.net/20.500.12708/39793 ( reposiTUm)

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 ( reposiTUm)

Kropatsch, W., Haxhimusa, Y., & Pizlo, Z. (2005). Integral trees: Subtree depth and diameter, PRIP TR-092. http://hdl.handle.net/20.500.12708/33045 ( reposiTUm)

Haxhimusa, Y., & Kropatsch, W. (2003). Experimental Results of MIS, MIES, MIDES and D3P. http://hdl.handle.net/20.500.12708/32919 ( reposiTUm)

Haxhimusa, Y., & Kropatsch, W. (2003). Hierarchical Image Partitioning with Dual Graph Contraction. http://hdl.handle.net/20.500.12708/32923 ( reposiTUm)

Haxhimusa, Y., & Kropatsch, W. (2002). Reduction Factors of Pyramids on Undirected and Directed Graphs. http://hdl.handle.net/20.500.12708/32810 ( reposiTUm)

Langs, G., Bischof, H., & Kropatsch, W. (2002). Irregular Eigenimage Pyramids and Robust Appearance-Based Object Recognition. http://hdl.handle.net/20.500.12708/32811 ( reposiTUm)