Fast iterative motion and disparity estimation algorithm for multiview video coding

This paper proposes an iterative search strategy for joint motion and disparity estimation in order to eliminate the temporal and inter-view redundancies of multiview video. This iterative search strategy can work with an adaptive search range adjustment through a confidence measure of a loop constraint to obtain both motion and disparity vectors simultaneously with low complexity. Experimental results demonstrate that the proposed algorithm outperforms the conventional algorithm which estimates disparity and motion vectors separately.