This paper is concerned with the data compression and interpolation of multi-view image. In this paper, we propose a novel disparity compensation method based on geometric relationship. We first investigate the geometric relationship between a point in the object space and its projection onto view images. Then, we propose the disparity compensation scheme that utilizes the geometric constraints between view images. This scheme is used to compress the multi-view image into the structure of the triangular patches and the texture data on the surface of the patches. This scheme not only compresses the multi-view image but also synthesizes the view images from any viewpoints in the viewing zone. We report the experiment where three sets of multi-view image were used as original images and the amount of data was reduced to 1/20 with SNR 34 dB.
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