@article{zeppelzauer_study_2016, title = {A {Study} on {Topological} {Descriptors} for the {Analysis} of {3D} {Surface} {Texture}}, abstract = {Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface textures. We present a comprehensive study on topological descriptors, investigate their robustness and expressiveness and compare them with state-of-the-art methods. Results show that class-specific information is reflected well in topological descriptors. The investigated descriptors can directly compete with non-topological descriptors and capture orthogonal information. Moreover they improve the state-of-the-art in combination with non-topological descriptors.}, journal = {Journal on Computer and System Sciences}, author = {Zeppelzauer, Matthias and Zielinski, Bartosz and Juda, Mateusz and Seidl, Markus}, year = {2016}, note = {Projekt: PITOTI 3D}, keywords = {2016, 3D surface classification, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Schriftpublikation, SP, Surface texture analysis, Wiss. Beitrag, best, best-lbseidl, peer-reviewed, persistence diagram, persistence image, persistent homology, surface representation, surface topology analysis, ⛔ No DOI found}, pages = {60}, } @inproceedings{blumenstein_bringing_2017, title = {Bringing {Your} {Own} {Device} into {Multi}-device {Ecologies} - {A} {Technical} {Concept}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/1040_Blumenstein.pdf}, doi = {10/ghppx8}, abstract = {Almost every visitor brings their own mobile device (e.g., smartphone or tablet) to the museum. Although, many museums include interactive exhibits (e.g., multi-touch tables), the visitors’ own devices are rarely used as part of a device ecology. Currently, there is no suitable infrastructure to seamlessly link different devices in museums. Our approach is to integrate the visitor’s own device in a multi-device ecology (MDE) in the museum to enhance the visitor’s exhibition experience. Thus, we present a technical concept to set up such MDEs integrating the well-established TUIO framework for multi-touch interaction on and between devices.}, booktitle = {Proceedings of the 2017 {ACM} {International} {Conference} on {Interactive} {Surfaces} and {Spaces}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Kaltenbrunner, Martin and Seidl, Markus and Breban, Laura and Thür, Niklas and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: MEETeUX}, keywords = {Center for Artificial Intelligence, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-kblumenstein, best-lbseidl, peer-reviewed}, pages = {306--311}, } @inproceedings{zeppelzauer_efficient_2015, address = {Quebec, Canada}, title = {Efficient {Image}-{Space} {Extraction} and {Representation} of {3D} {Surface} {Topography}}, url = {http://arxiv.org/pdf/1504.08308v3.pdf}, doi = {10/ghp4kc}, booktitle = {Conference {Proceedings} of {ICIP} - {IEEE} {International} {Conference} on {Image} {Processing} 2015}, publisher = {IEEE}, author = {Zeppelzauer, Matthias and Seidl, Markus}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, 3D descriptors, 3D surface analysis, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Image processing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Surface microstructure, Topography classification, Vortrag, Wiss. Beitrag, best-lbseidl, peer-reviewed}, pages = {2845--2849}, } @article{seidl_gradual_2011, title = {Gradual transition detection in historic film material —a systematic study}, volume = {4}, issn = {1556-4673}, url = {http://doi.acm.org/10.1145/2069276.2069279}, doi = {10/fzsqr8}, number = {3}, journal = {J. Comput. Cult. Herit.}, author = {Seidl, Markus and Zeppelzauer, Matthias and Mitrović, Dalibor and Breiteneder, Christian}, year = {2011}, keywords = {Center for Artificial Intelligence, Computer Vision, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbseidl, peer-reviewed}, pages = {10:1--10:18}, } @article{zeppelzauer_study_2018, title = {A {Study} on {Topological} {Descriptors} for the {Analysis} of {3D} {Surface} {Texture}}, volume = {167}, issn = {1077-3142}, url = {https://arxiv.org/pdf/1710.10662}, doi = {10/ghpp2h}, abstract = {Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface textures. We present a comprehensive study on topological descriptors, investigate their robustness and expressiveness and compare them with state-of-the-art methods. Results show that class-specific information is reflected well in topological descriptors. The investigated descriptors can directly compete with non-topological descriptors and capture orthogonal information. Moreover they improve the state-of-the-art in combination with non-topological descriptors.}, journal = {Journal on Computer Vision and Image Understanding (CVIU)}, author = {Zeppelzauer, Matthias and Zielinski, Bartosz and Juda, Mateusz and Seidl, Markus}, year = {2018}, note = {Projekt: PITOTI 3D}, keywords = {3D surface classification, Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Surface texture analysis, Visual Computing, Wiss. Beitrag, best, best-lbseidl, best-mzeppelzauer, peer-reviewed, persistence diagram, persistence image, persistent homology, surface representation, surface topology analysis}, pages = {74 -- 88}, } @inproceedings{seidl_automated_2012, address = {New York, NY, USA}, series = {{ICVGIP} '12}, title = {Automated petroglyph image segmentation with interactive classifier fusion}, isbn = {978-1-4503-1660-6}, url = {http://doi.acm.org/10.1145/2425333.2425399}, doi = {10/gh372j}, booktitle = {Proceedings of the {Eighth} {Indian} {Conference} on {Computer} {Vision}, {Graphics} and {Image} {Processing}}, publisher = {ACM}, author = {Seidl, Markus and Breiteneder, Christian}, year = {2012}, note = {Projekt: FORSCH08 Projekt: PITOTI 3D}, keywords = {Center for Artificial Intelligence, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Pattern recognition, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbseidl, experimental study, image features, image segmentation, peer-reviewed, petroglyphs, pixel classification, rock art}, pages = {66:1--66:8}, } @inproceedings{agapito_graph-based_2015, series = {Lecture {Notes} in {Computer} {Science}}, title = {Graph-{Based} {Shape} {Similarity} of {Petroglyphs}}, volume = {8925}, isbn = {978-3-319-16177-8}, url = {http://dx.doi.org/10.1007/978-3-319-16178-5_9}, language = {English}, booktitle = {Computer {Vision} - {ECCV} 2014 {Workshops}}, publisher = {Springer International Publishing}, author = {Seidl, Markus and Wieser, Ewald and Zeppelzauer, Matthias and Pinz, Axel and Breiteneder, Christian}, editor = {Agapito, Lourdes and Bronstein, Michael M. and Rother, Carsten}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Graph edit distance, Graph embedding, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Petroglyph similarity, Publikationstyp Schriftpublikation, Shape similarity, Vortrag, Wiss. Beitrag, best, best-lbseidl, graph matching, peer-reviewed, visual computing}, pages = {133--148}, }