Temporally coherent stereo matching using kinematic constraints

This paper explores a simple yet effective way to generate temporally coherent disparity maps from binocular video sequences based on kinematic constraints. Given the disparity map at a certain frame, the proposed approach computes the set of possible disparity values for each pixel in the subsequent frame, assuming a maximum displacement constraint (in world coordinates) allowed for each object. These disparity sets are then used to guide the stereo matching procedure in the subsequent frame, generating a temporally coherent disparity map. Experimental results indicate that the proposed approach produces temporally coherent disparity maps comparable to or better than competitive methods.