A new method for computing precise depth map estimates of the 3D shape of a moving object is proposed. A 3D shape recovery in motion stereo is formulated as a matching optimization problem of multiple stereo images. The proposed method is a heuristic modification of dynamic programming applied to a 2D optimization problem. Three-dimensional shape recovery on the base of real-motion stereo images demonstrates the high-level performance of the algorithm in terms of reconstruction accuracy.
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