Abstract
An algorithm is described for the joint estimation of motion and disparity vector fields from stereoscopic image sequences. Markov random fields (MRF) are used to model local interaction processes. Interaction of neighbouring-motion disparity vectors across a discontinuity line is prohibited via hidden Markov fields signalling discontinuities in the vector fields. Occlusion processes are also used to mark occluded image locations, which may yield ambiguous matches. The coherence of motion and disparity vector fields is exploited by means of the epipolar constraint and the so called ‘loop constraint’. A computationally efficient, suboptimal, hierarchical, deterministic relaxation algorithm is proposed.
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