Subspace methods for recovering rigid motion I: algorithm and implementation
International Journal of Computer Vision
3-D interpretation of optical flow by renormalization
International Journal of Computer Vision
Linear Differential Algorithm for Motion Recovery: AGeometric Approach
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on image-based servoing
The statistics of optical flow
Computer Vision and Image Understanding
Characterizing Depth Distortion under Different Generic Motions
International Journal of Computer Vision
Optimal Structure from Motion: Local Ambiguities and Global Estimates
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Generalized image matching by the method of differences
Generalized image matching by the method of differences
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We put forth in this paper a geometrically motivated 3-D motion error analysis which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.