Computing occluding and transparent motions
International Journal of Computer Vision
Artificial Intelligence - Special volume on computer vision
Motion-egomotion discrimination and motion segmentation from image-pair streams
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
From projective to Euclidean reconstruction
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Direct Estimation of Motion and Extended Scene Structure from a Moving Stereo Rig
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Robust Dense Matching Using Local and Global Geometric Constraints
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
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In this paper we explore a multiple hypothesis approach to estimating rigid motion from a moving stereo rig. More precisely, we introduce the use of Gaussian mixtures to model correspondence uncertainties for disparity and image velocity estimation. We show some properties of the disparity space and show how rigid transformations can be represented. An algorithm derived from standard random sampling-based robust estimators, that efficiently estimates rigid transformations from multi-hypothesis disparity maps and velocity fields is given.