Data compression of an autostereoscopic 3D image

Toshiaki Fujii; Hiroshi Harashima

doi:10.1117/12.173866

15 April 1994 Data compression of an autostereoscopic 3D image

Toshiaki Fujii, Hiroshi Harashima

Proceedings Volume 2177, Stereoscopic Displays and Virtual Reality Systems; (1994) https://doi.org/10.1117/12.173866
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Toshiaki Fujii and Hiroshi Harashima "Data compression of an autostereoscopic 3D image", Proc. SPIE 2177, Stereoscopic Displays and Virtual Reality Systems, (15 April 1994); https://doi.org/10.1117/12.173866

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