Temporal frame interpolation for stereoscopic sequences using object-based motion estimation and occlusion detection

Temporal frame interpolation techniques are presented, based on an object-based algorithm for 3-D motion estimation. This algorithm uses a joint estimation-segmentation scheme to minimize the displaced frame difference between a frame and its motion compensated prediction from the previous frame. Depth information is estimated beforehand from each stereo pair. Special attention is paid to the exploitation of occlusion information so as to improve the reconstruction quality of the interpolated frames. Experimental results are used to evaluate the performance of the proposed methods and to compare with more conventional frame interpolation techniques