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Proceedings Paper

Symmetric trinocular dense disparity estimation for car surrounding camera array
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Paper Abstract

This paper presented a novel dense disparity estimation method which is called as symmetric trinocular dense disparity estimation. Also a car surrounding camera array application is proposed to improve the driving safety by the proposed symmetric trinocular dense disparity estimation algorithm. The symmetric trinocular property is conducted to show the benefit of doing disparity estimation with three cameras. A 1D fast search algorithm is described to speed up the slowness of the original full search algorithms. And the 1D fast search algorithm utilizes the horizontal displacement property of the cameras to further check the correctness of the disparity vector. The experimental results show that the symmetric trinocular property improves the quality and smoothness of the disparity vector.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081F (29 January 2007); doi: 10.1117/12.704770
Show Author Affiliations
Yi-Min Tsai, National Taiwan Univ. (Taiwan)
Yu-Lin Chang, National Taiwan Univ. (Taiwan)
Liang-Gee Chen, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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