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Stereo matching using belief propagation with spatiotemporal consistency

In this paper, we propose a stereo matching approach using belief propagation for video disparity estimation by establishing a novel spatiotemporal belief propagation model. The proposed model extends 2D belief propagation algorithm to 3D mode by propagating the belief of preceding frame to the following frame. Additionally, the propagating messages of the preceding frame are translated through referring to motion vector and then used as the initial values of message for the current frame. Meanwhile, the consistency of the motion vector is incorporated to the smoothness constraint for the current frame. The proposed spatiotemporal model of belief propagation has more systematic and comprehensive combination of temporal correlation compared to previous works. The experimental results show that it outperforms the algorithms based on 2D belief propagation especially for non-deformation motion in middle-low speed.