Abstract:This paper proposed a novel method based on the inherent epipolar geometry relationship between different views to generate the spatial side information of distributed multi-view video coding system. In this process

the accuracy of the epipolar geometry directly impacts motion search range and the quality of side information. To obtain a more accurate epipolar geometry

we proposed an optimization algorithm based on image registration. It improves the matching accuracy by optimal adjusting the coordinate of feature points and removal of part of feature points with low correlation. Using the epipolar geometry relationship by our algorithm to compute the spatial side information of distributed multi-view video coding system

and test the performance of it. The experiment results show that:By our algorithm

the PSNR of side information increased by more than 2dB through motion search on the epipolar line. When expanding the vertical motion search range

we can get the the similar reconstruction quality with ten to twenty percent of complexity of the original’s. Meanwhile

the rate-distortion performance of the proposed system gain 0.2 ~ 0.7dB compared with the MCII algorithm under the same conditions.