In order to achieve high compression ratio in coding stereo video sequences

one sequence of stereoscopic sequences is independently coded by a conventional MPEG-type scheme

only a few reference frames in another sequence are coded.The rest of frames

however

are neither coded nor transmitted.They are reconstructed at the decoder using a stereoscopic frame estimation technique.This paper studies the highly spatial and temporal correlation between images

disparity fields and motion vector fields in the neighbor frames of stereoscopic sequences and proposes a frame estimation technique to explore these correlations.As to those un-estimated regions due to occlusion

this paper also constructs a cost function combined with the continuity of image intensity and the distribution characteristic of motion and disparity vector to estimate the motion vectors and intensities of them.The experiment results show that this frame estimation algorithm has good results on view perception and PSNR.