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Margrit Gelautz

Ao.Univ.Prof.in Dipl.-Ing.in Mag.a rer.nat. Dr.in techn.

Research Focus

  • Visual Computing and Human-Centered Technology: 100%

Research Areas

  • Stereo Vision, Human Motion, Computer Vision, Motion Analysis, Video Analysis, Assisted/Autonomous Driving, Robotics, 3D TV
Margrit Gelautz

About

I perform research in the field of Computer Vision with a focus on 3D scene reconstruction (especially, stereo analysis), video object segmentation, image matting and motion estimation. Currently, my research interests revolve around the application fields of assisted/autonomous driving and motion studies for human-robot interaction. I am a partner in the TrustRobots Doctoral College (www.trustrobots.eu) and the FWF ConnectingMinds project CaringRobots // RoboticCare (www.caringrobots.eu).

In collaboration with Microsoft Research Cambridge, our group has set up and maintains the alphamatting benchmark (www.alphamatting.com) for the evaluation of image matting algorithms.

Our research activities led to the foundation of the spin-off company emotion3D in 2010.

Role

Contact

2024W

2025S

 

2025

2024

  • Body Movement Mirroring and Synchrony in Human-Robot Interaction / Stoeva, D., Kriegler, A., & Gelautz, M. (2024). Body Movement Mirroring and Synchrony in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction, 13(4), Article 47. https://doi.org/10.1145/3682074
    Project: Caring Robots // Robotic Care (2022–2027)
  • A Dynamic Calibration Framework for the Event-Frame Stereo Camera System / Hu, R., Kogler, J., Gelautz, M., Lin, M., & Xia, Y. (2024). A Dynamic Calibration Framework for the Event-Frame Stereo Camera System. IEEE Robotics and Automation Letters, 9(12), 11465–11472. https://doi.org/10.1109/LRA.2024.3491426
    Download: AM (1.02 MB)
  • Evaluation of Flexible Structured Light Calibration Using Circles / Fischer, R., Hödlmoser, M., & Gelautz, M. (2024). Evaluation of Flexible Structured Light Calibration Using Circles. In A. A. de Sousa, T. Bashford-Rogers, A. Paljic, M. Ziat, C. Hurter, H. Purchase, P. Radeva, G. M. FARINELLA, & K. Bouatouch (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 271–294). Springer Cham. https://doi.org/10.1007/978-3-031-66743-5_13
    Project: SmartProtect (2020–2025)
  • Learning Geometry: Rotation Representation of Symmetric Objects / Kriegler, A., Beleznai, C., & Gelautz, M. (2024, July 8). Learning Geometry: Rotation Representation of Symmetric Objects [Poster Presentation]. ICVSS 2024 International Computer Vision Summer School, Sicily, Italy. http://hdl.handle.net/20.500.12708/199782
  • Programming Robot Animation Through Human Body Movement / Frijns, H. A., Stoeva, D., Schürer, O., & Gelautz, M. (2024). Programming Robot Animation Through Human Body Movement. In 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO) (pp. 273–279). IEEE. https://doi.org/10.1109/ARSO60199.2024.10557907
    Download: PDF (2.94 MB)
    Project: Caring Robots // Robotic Care (2022–2027)

2023

2022

  • Design, Requirements, and Challenges of a Human-Robot Imitation System / Stoeva, D., & Gelautz, M. (2022). Design, Requirements, and Challenges of a Human-Robot Imitation System. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 107–127). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_5
    Download: PDF (255 KB)
  • PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives / Kriegler, A., Beleznai, C., Murschitz, M., Gobel, K., & Gelautz, M. (2022). PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives. In 2022 Sixth IEEE International Conference on Robotic Computing (IRC) (pp. 190–197). https://doi.org/10.1109/IRC55401.2022.00040
  • Camera Pose Estimation using Human Head Pose Estimation / Fischer, R., Hödlmoser, M., & Gelautz, M. (2022). Camera Pose Estimation using Human Head Pose Estimation. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Unknown. SCITEPRESS. https://doi.org/10.5220/0010879400003124
    Project: SyntheticCabin (2021–2025)
  • Feature Selection and Multi-task Learning for Pedestrian Crossing Prediction / Schörkhuber, D., Pröll, M., & Gelautz, M. (2022). Feature Selection and Multi-task Learning for Pedestrian Crossing Prediction. In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 439–444). IEEE. https://doi.org/10.1109/SITIS57111.2022.00073
    Project: SmartProtect (2020–2025)
  • The Effect of Exaggerated Nonverbal Cues on the Perception of the Robot Pepper / Fischer, S. H., Stoeva, D., & Gelautz, M. (2022). The Effect of Exaggerated Nonverbal Cues on the Perception of the Robot Pepper. In Proceedings of the 10th International Conference on Human-Agent Interaction. HAI ’22: International Conference on Human-Agent Interaction, New Zealand. https://doi.org/10.1145/3527188.3563929
    Project: Caring Robots // Robotic Care (2022–2027)

2021

  • Bounding Box Propagation for Semi-automatic Video Annotation of Nighttime Driving Scenes / Schörkhuber, D., Groh, F., & Gelautz, M. (2021). Bounding Box Propagation for Semi-automatic Video Annotation of Nighttime Driving Scenes. In University of Zagreb (Ed.), 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). University of Zagreb. https://doi.org/10.1109/ispa52656.2021.9552141
    Projects: CarVisionLight (2017–2025) / SmartProtect (2020–2025)
  • Adaptive Light Function Controlled in the Control Loop with Cameras / Hartmann, P., Artmann, M., Nezveda, M., Gelautz, M., Moreno, A., Fallmann, D., Lahmer, M., Popp, R., Groh, F., Schörkhuber, D., Frantar, E., Seitner, F., & Fischer, R. (2021). Adaptive Light Function Controlled in the Control Loop with Cameras. ATZ Worldwide, 123(2), 24–29. https://doi.org/10.1007/s38311-020-0610-5
    Project: CarVisionLight (2017–2025)
  • Analytical Solution of Pepper’s Inverse Kinematics for a Pose Matching Imitation System / Stoeva, D., Frijns, H., Gelautz, M., & Schürer, O. (2021). Analytical Solution of Pepper’s Inverse Kinematics for a Pose Matching Imitation System. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Vancouver, Canada. IEEE. https://doi.org/10.1109/ro-man50785.2021.9515480
  • Evaluation of Monocular and Stereo Depth Data for Geometry-Assisted Learning of 3D Pose / Kriegler, A., Csaba, B., & Gelautz, M. (2021). Evaluation of Monocular and Stereo Depth Data for Geometry-Assisted Learning of 3D Pose. In 2021 44th Austrian Association for Pattern Recognition (OAGM) Joint Austrian Computer Vision and Robotics Workshop (pp. 1–7). Verlag der TU Graz. https://doi.org/10.3217/978-3-85125-869-1-01

2020

2019

2018

  • Camera-based pose estimation in dynamic environments - concept and status / Schörghuber, M., Humenberger, M., & Gelautz, M. (2018). Camera-based pose estimation in dynamic environments - concept and status. Prairie Artificial Intelligence Summer School, Grenoble, France. http://hdl.handle.net/20.500.12708/86779
  • A Post-processing Tool for Multi-view 2D-plus-depth Video / Sespede, B., Seitner, F., & Gelautz, M. (2018). A Post-processing Tool for Multi-view 2D-plus-depth Video. The 15th ACM SIGGRAPH European Conference on Visual Media Production, London, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/86783
  • An Evaluation Framework for Dynamic Scene Acquisitions Using Multiple Stereo Cameras / Kapeller, C., Sespede, B., Nezveda, M., Labschütz, M., Flöry, S., Seitner, F., & Gelautz, M. (2018). An Evaluation Framework for Dynamic Scene Acquisitions Using Multiple Stereo Cameras. The 15th ACM SIGGRAPH European Conference on Visual Media Production, London, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/86784
  • 3D Visual Content Datasets / Fliegel, K., Battisti, F., Carli, M., Gelautz, M., Krasula, L., Le-Callet, P., & Zlokolica, V. (2018). 3D Visual Content Datasets. In 3D Visual Content Creation, Coding and Delivery (pp. 299–325). Springer. https://doi.org/10.1007/978-3-319-77842-6_11
    Project: Precise3D (2016–2023)
  • Quality of Experience and Quality of Service Metrics for 3D Content / Barreda-Angeles, M., Battisti, F., Boato, G., Carli, M., Dumic, E., Gelautz, M., Hewage, C., Le-Callet, P., Liotta, A., Pasquini, C., Pereda-Baños, A., Politis, C., Sandic, D., Tekalp, M., Torres-Vega, M., & Zlokolica, V. (2018). Quality of Experience and Quality of Service Metrics for 3D Content. In 3D Visual Content Creation, Coding and Delivery (pp. 267–297). Springer. https://doi.org/10.1007/978-3-319-77842-6_10
    Project: Precise3D (2016–2023)
  • Guest Editorial: Special Issue on Embedded Computer Vision / Mattoccia, S., Kisačanin, B., Gelautz, M., Chai, S., Belbachir, A. N., Dedeoglu, G., & Stein, F. (2018). Guest Editorial: Special Issue on Embedded Computer Vision. Journal of Signal Processing Systems, 90(6), 873–876. https://doi.org/10.1007/s11265-018-1365-8
    Project: Precise3D (2016–2023)
  • A workflow for 3D model reconstruction from multi-view depth acquisitions of dynamic scenes / Kapeller, C., Sespede, B., Nezveda, M., Labschütz, M., Flöry, S., Seitner, F., & Gelautz, M. (2018). A workflow for 3D model reconstruction from multi-view depth acquisitions of dynamic scenes. In M. Welk, M. Urschler, & P. M. Roth (Eds.), Proceedings of the OAGM Workshop 2018 Medical Image Analysis (pp. 116–119). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-603-1
    Project: Precise3D (2016–2023)
  • Vision-based Autonomous Feeding Robot / Schörghuber, M., Wallner, M., Jung, R., Humenberger, M., & Gelautz, M. (2018). Vision-based Autonomous Feeding Robot. In P. M. Roth, M. Welk, & M. Urschler (Eds.), Proceedings of the OAGM Workshop 2018 Medical Image Analysis (pp. 111–115). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-603-1-23

2017

  • Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation / Piatkowska, E., Kogler, J., Belbachir, N., & Gelautz, M. (2017). Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation. In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, Honolulu, Hawaii, United States of America (the). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/cvprw.2017.51
    Project: Precise3D (2016–2023)
  • Digital Playbook - A Teaching Tool for American Football / Vorstandlechner, M., Gelautz, M., & Putz, C. (2017). Digital Playbook - A Teaching Tool for American Football. In Electronic Imaging (pp. 38–44). https://doi.org/10.2352/issn.2470-1173.2017.16.cvas-347
  • Depth-guided Disocclusion Inpainting for Novel View Synthesis / Rittler, T., Nezveda, M., Seitner, F., & Gelautz, M. (2017). Depth-guided Disocclusion Inpainting for Novel View Synthesis. In P. M. Roth, M. Vincze, W. Kubinger, A. Müller, B. Blaschitz, & S. Štolc (Eds.), Proceedings of the OAGM & ARW Joint Workshop Vision, Automation and Robotics (pp. 160–164). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-524-9-34
    Project: Precise3D (2016–2023)
  • Intelligent Film Assistant for Personalized Video Creation on Mobile Devices / Schörkhuber, D., Seitner, F., Salzbrunn, B., Gelautz, M., & Braun, G. (2017). Intelligent Film Assistant for Personalized Video Creation on Mobile Devices. In Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia - MoMM2017. The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM2017), Salzburg, Austria. ACM International Conference Proceedings Series. https://doi.org/10.1145/3151848.3151881
    Project: PersonalFilmAssistant (2016–2023)
  • Stereo reconstruction of sports scenes: algorithms, applications and challenges / Gelautz, M., Seitner, F., Kapeller, C., & Brosch, N. (2017). Stereo reconstruction of sports scenes: algorithms, applications and challenges. In BMC Sports Science, Medicine and Rehabilitation. BMC Sports Science, Austria. BMC Sports Science, Medicine and Rehabilitation. https://doi.org/10.1186/s13102-017-0068-y
    Project: Precise3D (2016–2023)

2016

  • Towards Perceptually Coherent Depth Maps in 2D-to-3D Conversion / Brosch, N., Schausberger, T., & Gelautz, M. (2016). Towards Perceptually Coherent Depth Maps in 2D-to-3D Conversion. In Stereoscopic Displays and Applications XXVII. IS&T Electronic Imaging, San Francisco, United States of America (the). http://hdl.handle.net/20.500.12708/56460
    Project: Hyperion3D (2013–2016)
  • Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos / Zellinger, W., Moser, B., Chouikhi, A., Seitner, F., Nezveda, M., & Gelautz, M. (2016). Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. In Stereoscopic Displays and Applications XXVII, IS&T Electronic Imaging. IS&T Electronic Imaging, San Francisco, United States of America (the). http://hdl.handle.net/20.500.12708/56458
    Project: Hyperion3D (2013–2016)
  • Algorithms for 3D film content generation and post-processing / Gelautz, M., Nezveda, M., Brosch, N., & Seitner, F. (2016). Algorithms for 3D film content generation and post-processing. In Journal of Information Technology & Software Engineering (p. 32). Journal of Information Technology & Software Engineering. http://hdl.handle.net/20.500.12708/56736
    Projects: 3D-ConTourNet (2014–2016) / Hyperion3D (2013–2016)
  • Stereo Reconstruction of Sports Scenes: Algorithms, Applications, and Challenges / Gelautz, M., Seitner, F., Kapeller, C., & Brosch, N. (2016). Stereo Reconstruction of Sports Scenes: Algorithms, Applications, and Challenges. International Conference on Technology and Innovation in Sports, Health and Wellbeing, Vila Real, Portugal. http://hdl.handle.net/20.500.12708/86395
    Project: Precise3D (2016–2023)
  • Research Activities in 3D Content Generation / Nezveda, M., Gelautz, M., Seitner, F., Zellinger, W., Moser, B., & Kapeller, C. (2016). Research Activities in 3D Content Generation. EU COST IC1105 - 3D-ConTourNet: Workshop and Final Meeting, Sundsvall, Sweden. http://hdl.handle.net/20.500.12708/86396
    Projects: 3D-ConTourNet (2014–2016) / Hyperion3D (2013–2016)
  • Research Activities in 3D Content Generation / Nezveda, M., Gelautz, M., Seitner, F., Zellinger, W., Moser, B., & Kapeller, C. (2016). Research Activities in 3D Content Generation. http://hdl.handle.net/20.500.12708/39095
    Projects: 3D-ConTourNet (2014–2016) / Hyperion3D (2013–2016)
  • Structured-light-based Depth Reconstruction Using Low-light Pico Projector / Rittler, T., Seitner, F., & Gelautz, M. (2016). Structured-light-based Depth Reconstruction Using Low-light Pico Projector. Journal of Mobile Multimedia, 12(1 & amp;2), 125–137. http://hdl.handle.net/20.500.12708/148576
    Project: Robust Depth 3D (2014–2015)
  • 3D Scene Reconstruction via Hierarchical Stereo Matching / Nezveda, M., & Gelautz, M. (2016). 3D Scene Reconstruction via Hierarchical Stereo Matching. In Vienna Young Scientists Symposium (pp. 72–73). http://hdl.handle.net/20.500.12708/56486
    Project: Hyperion3D (2013–2016)

2015

  • Trifocal system for high-quality inter-camera mapping and virtual view synthesis / Seitner, F., Nezveda, M., Gelautz, M., Braun, G., Kapeller, C., Zellinger, W., & Moser, B. (2015). Trifocal system for high-quality inter-camera mapping and virtual view synthesis. In 2015 International Conference on 3D Imaging (IC3D). International Conference on 3D Imaging (IC3D), Liège, Belgium, EU. https://doi.org/10.1109/ic3d.2015.7391819
    Project: Hyperion3D (2013–2016)
  • Structured-light-based Depth Reconstruction Using Low-light Pico Projector / Rittler, T., Seitner, F., & Gelautz, M. (2015). Structured-light-based Depth Reconstruction Using Low-light Pico Projector. In Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia. The 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2015), Brussels, Belgium, EU. ACM. https://doi.org/10.1145/2837126.2837154
    Project: Robust Depth 3D (2014–2015)

2014

2013

  • Fast Cost-Volume Filtering for Visual Correspondence and Beyond / Hosni, A., Rhemann, C., Bleyer, M., Rother, C., & Gelautz, M. (2013). Fast Cost-Volume Filtering for Visual Correspondence and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2), 504–511. https://doi.org/10.1109/tpami.2012.156
  • Secrets of Adaptive Support Weight Techniques for Local Stereo Matching / Hosni, A., Bleyer, M., & Gelautz, M. (2013). Secrets of Adaptive Support Weight Techniques for Local Stereo Matching. Computer Vision and Image Understanding, 117(6), 620–632. http://hdl.handle.net/20.500.12708/155712
  • Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data / Kogler, J., Eibensteiner, F., Humenberger, M., Gelautz, M., & Scharinger, J. (2013). Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data. In 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (p. 8). http://hdl.handle.net/20.500.12708/54653
  • Asynchronous Stereo Vision for Event-Driven Dynamic Stereo Sensor Using an Adaptive Cooperative Approach / Piatkowska, E., Belbachir, A. N., & Gelautz, M. (2013). Asynchronous Stereo Vision for Event-Driven Dynamic Stereo Sensor Using an Adaptive Cooperative Approach. In IEEE International Conference on Computer Vision (ICCV) Workshops (p. 5). http://hdl.handle.net/20.500.12708/55084
  • Image and Video Matting (ICCV 2013 Tutorial) / Varnousfaderan, E. S., Gelautz, M., Price, B., & Cho, J.-H. (2013). Image and Video Matting (ICCV 2013 Tutorial). ICCV 2013 Tutorial, Sydney, Non-EU. http://hdl.handle.net/20.500.12708/85679
  • Recent Advances in Local Stereo Matching / Gelautz, M. (2013). Recent Advances in Local Stereo Matching. ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/85563
  • 3D Film/TV - Research and Challenges / Gelautz, M. (2013). 3D Film/TV - Research and Challenges. Wissenschaftlicher Vortrag an der Universität Salzburg, Salzburg, Austria. http://hdl.handle.net/20.500.12708/84082
  • Depth map up-sampling using cost-volume filtering / Cho, J.-H., Ikehata, S., Yoo, H., Gelautz, M., & Aizawa, K. (2013). Depth map up-sampling using cost-volume filtering. In IVMSP 2013. 11th IEEE IVMSP Workshop, Korea, Non-EU. https://doi.org/10.1109/ivmspw.2013.6611912
    Project: 3D VideoFusion (2012–2014)
  • Depth Super Resolution by Rigid Body Self-Similarity in 3D / Hornacek, M., Rhemann, C., Gelautz, M., & Rother, C. (2013). Depth Super Resolution by Rigid Body Self-Similarity in 3D. In IEEE Computer Vision and Pattern Recognition (pp. 1123–1130). http://hdl.handle.net/20.500.12708/54650
    Project: Complete3D (2011–2014)
  • A framework for HDR stereo matching using multi-exposed images / Akhavan, T., Yoo, H., & Gelautz, M. (2013). A framework for HDR stereo matching using multi-exposed images. In Proceedings of HDRi2013 - First International Conference and SME Workshop on HDR imaging (2013) (p. 4). The Eurographics Association and Blackwell Publishing Ltd. http://hdl.handle.net/20.500.12708/54609

2012

  • Spatio-temporally Coherent Interactive Video Object Segmentation via Efficient Filtering / Brosch, N., Hosni, A., Rhemann, C., & Gelautz, M. (2012). Spatio-temporally Coherent Interactive Video Object Segmentation via Efficient Filtering. In Pattern Recognition Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings (pp. 418–427). Springer. https://doi.org/10.1007/978-3-642-32717-9_42
  • Accuracy-Efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching / Hosni, A., Gelautz, M., & Bleyer, M. (2012). Accuracy-Efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching. In Pattern Recognition Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings (pp. 337–346). Springer. https://doi.org/10.1007/978-3-642-32717-9_34
  • Quality Analysis of Virtual Views on Stereoscopic Video Content / Eisenbarth, M., Seitner, F., & Gelautz, M. (2012). Quality Analysis of Virtual Views on Stereoscopic Video Content. In Proceedings of 9th International Conference on Systems, Signals and Image Processings (IWSSIP 2012) (pp. 333–336). http://hdl.handle.net/20.500.12708/54266
  • Spatiotemporal Multiple Persons Tracking Using Dynamic Vision Sensor / Piatkowska, E., Belbachir, A. N., Schraml, S., & Gelautz, M. (2012). Spatiotemporal Multiple Persons Tracking Using Dynamic Vision Sensor. In The Eighth IEEE Workshop on Embedded Vision (p. 6). http://hdl.handle.net/20.500.12708/54197
  • Interactive Video Segmentation via Efficient Filtering / Brosch, N., Hosni, A., Rhemann, C., & Gelautz, M. (2012). Interactive Video Segmentation via Efficient Filtering. International Computer Vision Summer School 2012, Sicily, Italy, EU. http://hdl.handle.net/20.500.12708/85356
  • Ausgewählte Kapitel aus Visual Computing: 3D Video und Bildstilisierung / Gelautz, M. (2012). Ausgewählte Kapitel aus Visual Computing: 3D Video und Bildstilisierung. Gastvortrag FH Kapfenberg, Kapfenberg, Austria. http://hdl.handle.net/20.500.12708/85446
  • 3D Film - Herausforderungen an die Wissenschaft / Gelautz, M. (2012). 3D Film - Herausforderungen an die Wissenschaft. Informatiktag 2012, Wien, Austria. http://hdl.handle.net/20.500.12708/85395
  • Motion Segmentation in Videos from Time of Flight Cameras / Ghuffar, S., Brosch, N., Pfeifer, N., & Gelautz, M. (2012). Motion Segmentation in Videos from Time of Flight Cameras. In Proceedings of 9th International Conference on Systems, Signals and Image Processing (IWSSIP 2012) (pp. 342–346). http://hdl.handle.net/20.500.12708/54130

2011

  • Frauen in der Elektrotechnik und Informationstechnik / Gelautz, M. (2011). Frauen in der Elektrotechnik und Informationstechnik. Elektrotechnik und Informationstechnik : e & i, 128(10), 321–322. https://doi.org/10.1007/s00502-011-0039-z
  • Content generation for 3D video/TV / Brosch, N., Hosni, A., Ramachandran, G., He, L., & Gelautz, M. (2011). Content generation for 3D video/TV. Elektrotechnik Und Informationstechnik : E & i, 128(10), 359–365. https://doi.org/10.1007/s00502-011-0046-0
  • Object Removal by Depth-guided Inpainting / He, L., Bleyer, M., & Gelautz, M. (2011). Object Removal by Depth-guided Inpainting. In ÖAGM / AAPR Workshop 2011 (pp. 1–8). http://hdl.handle.net/20.500.12708/53841
  • Evaluation of data-parallel H.264 decoding approaches for strongly resource-restricted architectures / Seitner, F. H., Bleyer, M., Gelautz, M., & Beuschel, R. M. (2011). Evaluation of data-parallel H.264 decoding approaches for strongly resource-restricted architectures. Multimedia Tools and Applications, 53(2), 431–457. https://doi.org/10.1007/s11042-010-0501-7
  • Ausgewählte Kapitel aus Visual Computing: 3D Video und Bildstilisierung / Gelautz, M. (2011). Ausgewählte Kapitel aus Visual Computing: 3D Video und Bildstilisierung. Gastvortrag FH Kapfenberg, Kapfenberg, Austria. http://hdl.handle.net/20.500.12708/85447
  • Real-time Local Stereo Matching Using Guided Image Filtering / Hosni, A., Bleyer, M., Rhemann, C., Gelautz, M., & Rother, C. (2011). Real-time Local Stereo Matching Using Guided Image Filtering. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2011) (pp. 1–6). http://hdl.handle.net/20.500.12708/54087
  • Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering / Hosni, A., Rhemann, C., Bleyer, M., & Gelautz, M. (2011). Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering. In Advances in Image and Video Technology (pp. 165–177). Springer Verlag. https://doi.org/10.1007/978-3-642-25367-6_15
  • Fast Cost-Volume Filtering for Visual Correspondence and Beyond / Rhemann, C., Hosni, A., Bleyer, M., Rother, C., & Gelautz, M. (2011). Fast Cost-Volume Filtering for Visual Correspondence and Beyond. In IEEE Computer Vision and Pattern Recognition (p. 8). http://hdl.handle.net/20.500.12708/53855
  • Segmentation-Based Depth Propagation in Videos / Brosch, N., Rhemann, C., & Gelautz, M. (2011). Segmentation-Based Depth Propagation in Videos. In Proceedings of the ÖAGM/AAPR Workshop 2011. ÖAGM / AAPR Workshop 2011, Graz, Austria. http://hdl.handle.net/20.500.12708/55350

2010

  • 3D Video - Challenges and State-of-the-art Techniques / Gelautz, M. (2010). 3D Video - Challenges and State-of-the-art Techniques. Intelligent Systems, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/85059
  • Near Real-Time Stereo With Adaptive Support Weight Approaches / Hosni, A., Bleyer, M., & Gelautz, M. (2010). Near Real-Time Stereo With Adaptive Support Weight Approaches. In International Symposium 3D Data Processing, Visualization and Transmission (3DPVT) 2010 (pp. 1–8). http://hdl.handle.net/20.500.12708/53390
  • Geodesic Support Weights For Local Stereo / Hosni, A., Bleyer, M., & Gelautz, M. (2010). Geodesic Support Weights For Local Stereo. Junior Scientist Conference 2010, Wien, Austria. http://hdl.handle.net/20.500.12708/85259
  • Spatial Scene Reconstruction for 3D Video/TV / Gelautz, M., Hosni, A., Bleyer, M., Rhemann, C., & Rother, C. (2010). Spatial Scene Reconstruction for 3D Video/TV. AIECS 2010, Graz, Austria. http://hdl.handle.net/20.500.12708/85062
  • 3D ohne Brille - Die Zukunft des Fernsehens / Gelautz, M., Seitner, F., & Bleyer, M. (2010). 3D ohne Brille - Die Zukunft des Fernsehens. Consumer Content Conference, Köln, EU. http://hdl.handle.net/20.500.12708/85061
  • Visual Computing - 3D Szenen in Bild/Video / Gelautz, M. (2010). Visual Computing - 3D Szenen in Bild/Video. Gastvortrag FH Kapfenberg, Kapfenberg, Austria. http://hdl.handle.net/20.500.12708/85060
  • Digitale Bildverarbeitung: Software-Werkzeuge für 3D-Video / Gelautz, M. (2010). Digitale Bildverarbeitung: Software-Werkzeuge für 3D-Video. Innovationstag der Wirtschaftskammer Wien, Wien, Austria. http://hdl.handle.net/20.500.12708/85058
  • Digital Media - Visual Computing / Gelautz, M. (2010). Digital Media - Visual Computing. femIT Ringvorlesung, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/85057
  • Digital Media - Visual Computing / Gelautz, M. (2010). Digital Media - Visual Computing. femIT Ringvorlesung, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/85056
  • A Spatially Varying PSF-based Prior for Alpha Matting / Rhemann, C., Rother, C., Kohli, P., & Gelautz, M. (2010). A Spatially Varying PSF-based Prior for Alpha Matting. International Computer Vision Summer School 2010, Sicily, Italy, EU. http://hdl.handle.net/20.500.12708/85025
  • Filtering for Visual Correspondance / Rhemann, C., Hosni, A., Bleyer, M., Rother, C., & Gelautz, M. (2010). Filtering for Visual Correspondance. Microsoft Research Cambridge, Vision Meeting, Cambridge, UK, EU. http://hdl.handle.net/20.500.12708/85024
  • Geodesic Adaptive Support Weight Approach For Local Stereo Matching / Hosni, A., Bleyer, M., Gelautz, M., & Rhemann, C. (2010). Geodesic Adaptive Support Weight Approach For Local Stereo Matching. In Proceedings of the 15th Computer Vision Winter Workshop (pp. 60–65). Czech Society for Cybernetics and Informatics, (Czech Pattern Recognition Society group). http://hdl.handle.net/20.500.12708/54020
  • A spatially varying PSF-based prior for alpha matting / Rhemann, C., Rother, C., Kohli, P., & Gelautz, M. (2010). A spatially varying PSF-based prior for alpha matting. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. CVPR ’10, San Francisco, USA, Non-EU. IEEE. https://doi.org/10.1109/cvpr.2010.5539894

2009

  • Runtime-Optimised Intra-4x4 Mode-Decision for H.264/AVC Video Encoding / Jordan, H., Seitner, F., Bleyer, M., & Gelautz, M. (2009). Runtime-Optimised Intra-4x4 Mode-Decision for H.264/AVC Video Encoding. In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) (pp. 227–232). IEEE. http://hdl.handle.net/20.500.12708/52853
  • Development of a High-Level Simulation Approach and Its Application to Multicore Video Decoding / Seitner, F. H., Bleyer, M., Gelautz, M., & Beuschel, R. M. (2009). Development of a High-Level Simulation Approach and Its Application to Multicore Video Decoding. IEEE Transactions on Circuits and Systems for Video Technology, 19(11), 1667–1679. https://doi.org/10.1109/tcsvt.2009.2031523
  • Digital Media - Visual Computing / Gelautz, M. (2009). Digital Media - Visual Computing. femIT Ringvorlesung, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/84961
  • Von flachen Bildern zu 3D Video/TV / Gelautz, M. (2009). Von flachen Bildern zu 3D Video/TV. YO!tech, Graz, Austria. http://hdl.handle.net/20.500.12708/84960
  • Image Matting and Evaluation / Gelautz, M., & Rhemann, C. (2009). Image Matting and Evaluation. ITG Fachtagung “Algorithmen für die Signalverarbeitung,” Graz, Austria. http://hdl.handle.net/20.500.12708/84959
  • Non-photorealistic Rendering from Stereo Images / Gelautz, M., Markovic, D., & Stavrakis, E. (2009). Non-photorealistic Rendering from Stereo Images. Technical University Prague, CMP, Seminar, Center for Machine Perception, Technical University Prague, Czech Republic, EU. http://hdl.handle.net/20.500.12708/84958
  • Image Segmentation Via Iterative Geodesic Averaging / Hosni, A., Bleyer, M., & Gelautz, M. (2009). Image Segmentation Via Iterative Geodesic Averaging. In Proceedings of the 5th International Conference on Image and Graphics (p. 6). http://hdl.handle.net/20.500.12708/53017
  • Local Stereo Matching Using Geodesic Support Weights / Hosni, A., Bleyer, M., Gelautz, M., & Rhemann, C. (2009). Local Stereo Matching Using Geodesic Support Weights. In Proceedings of the IEEE International Conference on Image Processing (p. 4). IEEE. http://hdl.handle.net/20.500.12708/53015
  • Temporally Consistent Disparity Maps from Uncalibrated Stereo Videos / Bleyer, M., & Gelautz, M. (2009). Temporally Consistent Disparity Maps from Uncalibrated Stereo Videos. In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Special Session on Stereo Analysis and 3D Video/TV (p. 5). IEEE. http://hdl.handle.net/20.500.12708/53014
  • A Stereo Approach that Handles the Matting Problem via Image Warping / Bleyer, M., Gelautz, M., Rother, C., & Rhemann, C. (2009). A Stereo Approach that Handles the Matting Problem via Image Warping. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2009 (p. 8). http://hdl.handle.net/20.500.12708/53012
  • A Perceptually Motivated Online Benchmark for Image Matting / Rhemann, C., Rother, C., Wang, J., Gelautz, M., Kohli, P., & Rott, P. (2009). A Perceptually Motivated Online Benchmark for Image Matting. In Proceddings of the IEEE Conference on Computer Vision and Pattern Recognition (p. 8). http://hdl.handle.net/20.500.12708/52956
  • An Evaluation of Interactive Image Matting Techniques Supported by Eye-Tracking / Rhemann, C., Gelautz, M., & Foelsner, B. (2009). An Evaluation of Interactive Image Matting Techniques Supported by Eye-Tracking. In SPIE Electronic Imaging 2009 (p. 9). SPIE. http://hdl.handle.net/20.500.12708/52953

2008

  • Motion Analysis for Video Object Segmentation / Gelautz, M., Bleyer, M., & Rhemann, C. (2008). Motion Analysis for Video Object Segmentation. Sitzung der ITG-Fachgruppe Algorithmen für die Signalverarbeitung “MIMO- und mehrdimensionale Signalverarbeitung,” Wien, Austria. http://hdl.handle.net/20.500.12708/84830
  • 3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes / Gelautz, M., Bleyer, M., Markovic, D., & Rhemann, C. (2008). 3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes. In Dagstuhl Seminar Proceedings 08372 (p. 3). http://hdl.handle.net/20.500.12708/52538
  • Interactive Tools for Image-based Stereoscopic Artwork / Stavrakis, E., & Gelautz, M. (2008). Interactive Tools for Image-based Stereoscopic Artwork. In Proceedings of SPIE 2008 - Stereoscopic Displays and Applications. SPIE IS&T Electronic Imaging Conference, San Jose, Kalifornien, Non-EU. http://hdl.handle.net/20.500.12708/52537
  • Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches / Bleyer, M., Chambon, S., Poppe, U., & Gelautz, M. (2008). Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B3a (pp. 415–420). http://hdl.handle.net/20.500.12708/52348
  • Simple but Effective Tree Structures for Dynamic Programming-based Stereo Matching / Bleyer, M., & Gelautz, M. (2008). Simple but Effective Tree Structures for Dynamic Programming-based Stereo Matching. In International Conference on Computer Vision Theory and Applications (VISAPP) (pp. 415–422). http://hdl.handle.net/20.500.12708/52347
  • Improving Color Modeling for Alpha Matting / Rhemann, C., Rother, C., & Gelautz, M. (2008). Improving Color Modeling for Alpha Matting. In Proceedings of the British Machine Vision Conference 2008 (pp. 1155–1164). http://hdl.handle.net/20.500.12708/52346
  • Development of Multi-Core Video Decoding Platforms based on High-Level Architecture Simulations / Seitner, F., Bleyer, M., & Gelautz, M. (2008). Development of Multi-Core Video Decoding Platforms based on High-Level Architecture Simulations. In Proc. of the JSC 2008 (pp. 71–72). http://hdl.handle.net/20.500.12708/52312
  • Design Methodology for the SVENm Multimedia Engine / Seitner, F., Meser, J., Schedelberger, G., Wasserbauer, A., Bleyer, M., Gelautz, M., Schutti, M., Schreier, R. M., Vaclavik, P., Krottendorfer, G., Truhlar, G., Bauernfeind, T., & Beham, P. (2008). Design Methodology for the SVENm Multimedia Engine. In Proc. of the 16th Austrian Workshop on Microelectronics. 16th Austrian Workshop on Microelectronics (Austrochip), Linz, Austria. http://hdl.handle.net/20.500.12708/52290
  • Evaluation of data-parallel splitting approaches for H.264 decoding / Seitner, F., Bleyer, M., Schreier, R. M., & Gelautz, M. (2008). Evaluation of data-parallel splitting approaches for H.264 decoding. In Proc. of the 6th Int. Conf. on Advances in Mobile Computing and Multimedia (pp. 40–49). http://hdl.handle.net/20.500.12708/52279
  • A high-level simulator for the H.264/AVC decoding process in multi-core systems / Seitner, F., Schreier, R. M., Bleyer, M., & Gelautz, M. (2008). A high-level simulator for the H.264/AVC decoding process in multi-core systems. In Proceedings of SPIE, Multimedia on Mobile Devices 2008 (pp. 5–16). SPIE. http://hdl.handle.net/20.500.12708/52175

2007

2006

  • A Graph-based Approach to Optical Flow Estimation / Rhemann, C., Bleyer, M., & Gelautz, M. (2006). A Graph-based Approach to Optical Flow Estimation. In Proceedings of the Junior Scientist Conference 2006 (pp. 61–63). http://hdl.handle.net/20.500.12708/51742
  • Segmentation-based Motion with Occlusions Using Graph-Cut Optimization / Bleyer, M., Rhemann, C., & Gelautz, M. (2006). Segmentation-based Motion with Occlusions Using Graph-Cut Optimization. In K. Franke, K.-R. Müller, B. Nickolay, & R. Schäfer (Eds.), Pattern Recognition. 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings (pp. 465–474). Springer. https://doi.org/10.1007/11861898_47
  • Stereobildanalyse zur Erzeugung nicht-photorealistischer Ansichten / Gelautz, M. (2006). Stereobildanalyse zur Erzeugung nicht-photorealistischer Ansichten. Vortragsreihe der Fakultät für Informatik, Universität Wien, Wien, Austria. http://hdl.handle.net/20.500.12708/85384
  • Comics-Like Motion Depiction from Stereo / Markovic, D., & Gelautz, M. (2006). Comics-Like Motion Depiction from Stereo. In Proceedings of the 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006 (pp. 155–160). http://hdl.handle.net/20.500.12708/51743
  • Digital Television in Austria - Starting Experiences and Perspectives / Samcovic, A., & Gelautz, M. (2006). Digital Television in Austria - Starting Experiences and Perspectives. In Proceedings PosTel 2006. PosTel 2006, Belgrad, Non-EU. http://hdl.handle.net/20.500.12708/51744

2005

  • A Layered Stereo Matching Algorithm Using Image Segmentation and Global Visibility Constraints / Bleyer, M., & Gelautz, M. (2005). A Layered Stereo Matching Algorithm Using Image Segmentation and Global Visibility Constraints. ISPRS Journal of Photogrammetry and Remote Sensing, 59(3), 128–150. http://hdl.handle.net/20.500.12708/173374
  • Region-based Optical Flow Estimation with Treatment of Occlusions / Bleyer, M., Gelautz, M., & Rhemann, C. (2005). Region-based Optical Flow Estimation with Treatment of Occlusions. In Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (HACIPPR) (pp. 235–242). http://hdl.handle.net/20.500.12708/51289
  • Colour Segmentation-based Computation of Dense Optical Flow with Application to Video Object Segmentation / Bleyer, M., Gelautz, M., & Rhemann, C. (2005). Colour Segmentation-based Computation of Dense Optical Flow with Application to Video Object Segmentation. ÖGAI Journal, 24(1), 11–15. http://hdl.handle.net/20.500.12708/173375
  • Stereo Painting: Pleasing the Third Eye / Stavrakis, E., & Gelautz, M. (2005). Stereo Painting: Pleasing the Third Eye. Journal of 3-D Imaging, UNITED KINGDOM(168), 20–23. http://hdl.handle.net/20.500.12708/173361
  • Drawing the Real / Markovic, D., & Gelautz, M. (2005). Drawing the Real. In GRAPHITE ’05: Proceedings of the 3rd International Conference on Computer graphics and Interactive Techniques in Australasia and South East Asia (pp. 237–243). ACM Press. http://hdl.handle.net/20.500.12708/51349
    Project: WIT (2003–2007)
  • Graph-based Surface Reconstruction from Stereo Pairs Using Image Segmentation / Bleyer, M., & Gelautz, M. (2005). Graph-based Surface Reconstruction from Stereo Pairs Using Image Segmentation. In SPIE Symposium on Electronic Imaging 2005 (Videometrics VIII) (pp. 288–299). http://hdl.handle.net/20.500.12708/51290
  • Video Object Segmentation and Compositing / Gelautz, M., Bleyer, M., Rhemann, C., Markovic, D., & Stavrakis, E. (2005). Video Object Segmentation and Compositing. Winter Augmented Reality Meeting 2005, Graz, Austria. http://hdl.handle.net/20.500.12708/84485
  • Interactive Presentation of 3D Remote Sensing Data on the Internet / Gelautz, M., Kilzer, F., & Brandejsky, M. (2005). Interactive Presentation of 3D Remote Sensing Data on the Internet. In High Resolution Sensors and Their Applications. 6th Geomatic Week, Barcelona, EU. http://hdl.handle.net/20.500.12708/51248
  • Image-Based Stereoscopic Stylization / Stavrakis, E., Bleyer, M., Markovic, D., & Gelautz, M. (2005). Image-Based Stereoscopic Stylization. In IEEE International Conference on Image Processing, Volume 3 (pp. 5–8). IEEE. http://hdl.handle.net/20.500.12708/51222
  • Computer Generated Stereoscopic Artwork / Stavrakis, E., & Gelautz, M. (2005). Computer Generated Stereoscopic Artwork. In Proceedings of Eurographics Wrokshop on Computational Aesthetics in Graphics, Visualization and Imaging (pp. 143–149). Eurographics. http://hdl.handle.net/20.500.12708/51221
  • Parameterized Sketches from Stereo Images / Markovic, D., Stavrakis, E., & Gelautz, M. (2005). Parameterized Sketches from Stereo Images. In Proceedings of SPIE - Image and Video Communications and Processing 2005, Volume 5685 (pp. 783–791). http://hdl.handle.net/20.500.12708/51220
  • Stereoscopic Painting with Varying Levels of Detail / Stavrakis, E., & Gelautz, M. (2005). Stereoscopic Painting with Varying Levels of Detail. In Proceedings of SPIE - Stereoscopic Displays and Virtual Reality Systems XII, Volume 5664 (pp. 450–459). SPIE. http://hdl.handle.net/20.500.12708/51219

2004

  • Supporting Configurability in a Tangibly Augmented Environment for Design Students / Binder, T., Michelis, G. D., Gelautz, M., Iacucci, G., Matkovic, K., Psik, T., & Wagner, I. (2004). Supporting Configurability in a Tangibly Augmented Environment for Design Students. Personal and Ubiquitous Computing, 8(05), 310–325. http://hdl.handle.net/20.500.12708/174845
  • Anwendungen digitaler Hochgeschwindigkeitsvideokameras / Gelautz, M., Vogl, W., & Schmutz, M. (2004). Anwendungen digitaler Hochgeschwindigkeitsvideokameras. Österreichische Zeitschrift Für Vermessung Und Geoinformation, 92(1), 3–11. http://hdl.handle.net/20.500.12708/174842
  • A layered stereo algorithm using image segmentation and global visibility constraints / Bleyer, M., & Gelautz, M. (2004). A layered stereo algorithm using image segmentation and global visibility constraints. IEEE International Conference on Image Processing, Genova, Italy, EU. http://hdl.handle.net/20.500.12708/84336
  • Stereo-based Image and Video Analysis for Multimedia Applications / Gelautz, M., Stavrakis, E., & Bleyer, M. (2004). Stereo-based Image and Video Analysis for Multimedia Applications. XXth International Congress for Photogrammetry and Remote Sensing, Istanbul, Turkey, Austria. http://hdl.handle.net/20.500.12708/84361
  • Web-based Visualization and Animation of Geospatial Data Using X3D / Gelautz, M., Brandejsky, M., Kilzer, F., & Amelung, F. (2004). Web-based Visualization and Animation of Geospatial Data Using X3D. IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, EU. http://hdl.handle.net/20.500.12708/84360
  • Experimental Combination of Intensity and Stereo Edges for Improved Snake Segmentation / Markovic, D., & Gelautz, M. (2004). Experimental Combination of Intensity and Stereo Edges for Improved Snake Segmentation. 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, St. Petersburg, Russian Federation, Austria. http://hdl.handle.net/20.500.12708/84359
  • Recognition of Object Contours from Stereo Images: an Edge Combination Approach / Gelautz, M., & Markovic, D. (2004). Recognition of Object Contours from Stereo Images: an Edge Combination Approach. 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT’04), Thessaloniki, Greece, Austria. http://hdl.handle.net/20.500.12708/84358
  • Image-Based Stereoscopic Painterly Rendering / Stavrakis, E., & Gelautz, M. (2004). Image-Based Stereoscopic Painterly Rendering. Eurographics Symposium on Rendering 2004, Norrköping, Sweden, Austria. http://hdl.handle.net/20.500.12708/84335

2003

 

2024

2022

2021

2020

2019

  • Semantic labelling of objects in street scenes / Wittmann, A. (2019). Semantic labelling of objects in street scenes [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.58605
    Download: PDF (7.12 MB)

2018

2016

2015

2014

2013

2012

2011

2010

2009

2008

  • Bildsegmentierung - eine Benutzerstudie unter Verwendung von Eye-Tracking / Fölsner, B. (2008). Bildsegmentierung - eine Benutzerstudie unter Verwendung von Eye-Tracking [Master Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-25852
    Download: PDF (6.54 MB)
  • Stereoscopic non-photorealistic rendering / Stavrakis, E. (2008). Stereoscopic non-photorealistic rendering [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-27628
    Download: PDF (5.26 MB)

2007

2006

2005

 

  • Best Poster Nominee at HAI 2022 - "The effect of exaggerated nonverbal cues on the perception of the robot Pepper", S. Fischer, D. Stoeva, and M. Gelautz
    2022 / International Conference on Human-Agent Interaction (HAI) 2022 / New Zealand / Project
  • Shortlisted for VISAPP 2022 Best Student Paper Award (4 shortlisted papers out of 154 registered student papers) - "Camera pose estimation using human head pose estimation", R. Fischer, M. Hödlmoser, and M. Gelautz
    2022 / International Conference on Computer Vision Theory and Applications (VISAPP) 2022 / Portugal / Project
  • Nomination for Austrian State Prize Innovation ECONOVIUS (emotion3D GmbH)
    2012 / Austrian Chamber of Commerce / Austria / Project
  • "MARIO" Award at NAB Show, Las Vegas (emotion3D GmbH)
    2012 / TV Technology / USA / Project
  • Best Paper Award - "Segmentation-based depth propagation in videos", N. Brosch, C. Rhemann and M. Gelautz
    2011 / ÖAGM/AAPR Workshop / Austria / Project
  • Mercur Econovius Prize (emotion3D KG)
    2011 / Vienna Chamber of Commerce / Austria / Project
  • Nomination for "RIZ Genius Ideenpreis" (emotion3D KG)
    2010 / RIZ - Gründeragentur Niederösterreich / Austria
  • U.V. Helava Award - Best Paper of the Year (2004) - "A layered stereo matching algorithm using image segmentation and global visibility constraints", M. Bleyer and M. Gelautz
    2008 / U.V. Helava Award - Best Paper Volume 59 (2004) - "A layered stereo matching algorithm using image segmentation and global visibility constraints", M. Bleyer and M. Gelautz / Netherlands / Website
  • Second place in "Selection of Best FIT-IT Projects (Systems on Chip)" of the Year 2006
    2007 / Austrian Research Promotion Agency (FFG) / Austria / Project
  • FEMtech Expert of the Month (September 07)
    2007 / Federal Ministry for Transport, Innovation and Technology, ÖGUT / Austria / Website
  • Microsoft Research European PhD Scholarship (PI: Margrit Gelautz, PhD student: Christoph Rhemann) - First Austrian Research Group to Win the Scholarship
    2006 / Microsoft Research Cambridge / UK / Website / Project
  • Semifinal IBM Best Student Paper Award and rated among top 10% of conference contributions - "A layered stereo matching algorithm using image segmentation and global visibility constraints", M. Bleyer and M. Gelautz
    2004 / International Conference of Image Processing (ICIP) 2004 / Singapore
  • Max Kade Fellowship of the Austrian Academy of Sciences and Max Kade Foundation, New York, for postdoctoral research stay at Stanford University, USA
    1997 / Austria

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 Margrit Gelautz’s research profile in TISS .

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