Multiscale minimization of global energy functions in some visual recovery problems
CVGIP: Image Understanding
A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
Catadioptric Projective Geometry
International Journal of Computer Vision
Image Processing in Catadioptric Planes: Spatiotemporal Derivatives and Optical Flow Computation
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Pose Estimation for Central Catadioptric Systems: An Analytical Approach
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
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Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus. Markov random fields (MRF) whose usefulness is now obvious for projective image processing, cannot be used directly on catadioptric images because of the inadequacy of the neighborhood. In this paper, we propose to define a new neighborhood for MRF by using the equivalence theorem developed for central catadioptric sensors. We show the importance of this adaptation for segmentation, image restoration and motion detection.