Cornelia Fermüller
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Cornelia Fermüller is a research scientist at the Computer Vision Laboratory.
Fermüller’s research is in the areas of computer vision and human vision, and she has written more than 35 articles in journals and 100 publications in refereed conferences and books. In her computer vision work, she has developed many computational models and implemented software solutions for applications in visual navigation and image processing. Fermüller's work on biological vision involves examining the computational constraints, building simulation models, and performing psychophysical experiments to understand the possible computational mechanisms explaining human motion and low-level signal perception.
Many of her studies have been investigating the computational principles underlying multiple view geometry and statistics, and she has discovered a number of basic computational principles in the analysis of visual motion and shape recovery. These include view-invariant texture descriptors, constraints on 3-D motion estimation, 3-D shape and image segmentation, insights on the effects of sensor design on motion estimation, and the findings of statistical bias in low-level processing.
Fermüller has applied these studies in a number of applications, including new imaging sensors for better motion and shape recovery, software for visual motion tasks in navigation and robotics, and various tasks of video computing, such as compression, video manipulation, and image-based rendering.
Her current research interests are centered around developing cognitive robotic systems that integrate, perception with action, reasoning and language. In ongoing projects she develops robots that recognize human manipulation activities and search for an object in a room.
She received a doctorate from the Technical University of Vienna, Austria in 1993 and an M.S. from the University of Technology, Graz, Austria in 1989, both in applied mathematics.
Go here to view Fermüller's academic publications on Google Scholar.
Publications
1999
1999. Active Perception. Wiley Encyclopedia of Electrical and Electronics EngineeringWiley Encyclopedia of Electrical and Electronics Engineering.
1998
1998. Ambiguity in Structure from Motion: Sphere versus Plane. International Journal of Computer Vision. 28(2):137-154.
1998. Which shape from motion? Sixth International Conference on Computer Vision, 1998. :689-695.
1998. 3D motion and shape representations in visual servo control. The International Journal of Robotics Research. 17(1):4-4.
1998. Directions of Motion Fields are Hardly Ever Ambiguous. International Journal of Computer Vision. 26(1):5-24.
1998. The Video Yardstick. Modelling and Motion Capture Techniques for Virtual EnvironmentsModelling and Motion Capture Techniques for Virtual Environments. 1537:144-158.
1998. Effects of Errors in the Viewing Geometry on Shape Estimation* 1,* 2. Computer Vision and Image Understanding. 71(3):356-372.
1998. Effects of Errors in the Viewing Geometry on Shape Estimation. Computer Vision and Image Understanding. 71(3):356-372.
1998. Beyond the Epipolar Constraint: Integrating 3D Motion and Structure Estimation. 3D Structure from Multiple Images of Large-Scale Environments3D Structure from Multiple Images of Large-Scale Environments. 1506:109-123.
1998. Self-calibration from image derivatives. Sixth International Conference on Computer Vision, 1998. :83-89.
1998. Shape from video: Beyond the epipolar constraint. Proceedings of the DARPA Image Understanding Workshop.
1998. Simultaneous estimation of viewing geometry and structure. Computer Vision — ECCV'98Computer Vision — ECCV'98. 1406:342-358.
1997
1997. The confounding of translation and rotation in reconstruction from multiple views. , 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997. Proceedings. :250-256.
1997. The geometry of visual space distortion. Algebraic Frames for the Perception-Action CycleAlgebraic Frames for the Perception-Action Cycle. 1315:249-277.
1997. Toward motion picture grammars. Computer Vision — ACCV'98Computer Vision — ACCV'98. 1352:283-290.
1997. Families of Stationary Patterns Producing Illusory Movement: Insights into the Visual System. Proceedings of the Royal Society of London. Series B: Biological SciencesProc. R. Soc. Lond. B. 264(1383):795-806.
1997. Visual space distortion. Biological Cybernetics. 77(5):323-337.
1997. DIRECT MOTION PERCEPTION. Visual navigation: from biological systems to unmanned ground vehicles. :135-135.
1997. On the Geometry of Visual Correspondence. International Journal of Computer Vision. 21(3):223-247.
1996
1996. Directions of motion fields are hardly ever ambiguous. Computer Vision — ECCV '96Computer Vision — ECCV '96. 1065:119-128.
1996. Qualitative depth and FOE information via smoothed flow. Proceedings of the 20th workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR) on Pattern recognition 1996. :207-213.
1996. The synthesis of vision and action. Exploratory vision: the active eye. :205-205.
1996. Spatiotemporal representations for visual navigation. Computer Vision — ECCV '96Computer Vision — ECCV '96. 1064:671-684.
1996. Ordinal representations of visual space. Proc. Image Understanding Workshop. :897-904.
1995
1995. Vision and action. Image and Vision Computing. 13(10):725-744.
1995. Direct Perception of Three-Dimensional Motion from Patterns of Visual Motion. ScienceScience. 270(5244):1973-1976.
1995. Representations for active vision. Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1. :20-26.
1995. Qualitative egomotion. International Journal of Computer Vision. 15(1):7-29.
1995. Global rigidity constraints in image displacement fields. Proceedings of Fifth International Conference on Computer Vision, 1995. :245-250.
1995. Seeing and understanding: representing the visual world. ACM Comput. Surv.. 27(3):307-309.
1995. Global rigidity constraints in image displacement fields. , Fifth International Conference on Computer Vision, 1995. Proceedings. :245-250.
1995. The information in the direction of image flow. , International Symposium on Computer Vision, 1995. Proceedings. :461-466.
1995. Vision and action* 1. Image and vision computing. 13(10):725-744.
1995. 3D motion representations in visual servo control. Proceedings of International Symposium on Computer Vision, 1995. :61-66.
1995. Passive navigation as a pattern recognition problem. International Journal of Computer Vision. 14(2):147-158.
1994
1994. A syntactic approach to scale-space-based corner description. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(7):748-751.
1993
1993. Motion constraint patterns. , Proceedings of IEEE Workshop on Qualitative Vision, 1993. :128-139.
1993. The role of fixation in visual motion analysis. International Journal of Computer Vision. 11(2):165-186.
1993. Recognizing 3-D Motion. INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL IN℡LIGENCE. 13:1624-1624.
1993. Global 3D motion estimation. , 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93. :415-421.
1992
1992. Perceptual computational advantages of tracking. , 11th IAPR International Conference on Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings. :599-602.
1992. Multi-resolution shape description by corners. , 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92. :271-276.
1992. Behavioral Visual Motion Analysis,". Proceedings, DARPA Image Understanding Workshop. :521-541.
1992. Tracking facilitates 3-D motion estimation. Biological Cybernetics. 67(3):259-268.
1992. Hierarchical curve representation. , 11th IAPR International Conference on Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings. :143-146.