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Proceedings Paper

Gabor wavelet pyramid for depth recovery
Author(s): Thomas R. Tsao; Victor C. Chen
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Paper Abstract

This paper presents a binocular disparity computation method by using Gabor wavelet pyramid to recover depth structure of the scene. In our previous work, differential Gabor filters were used to extract image flow from two image frames. With Newton-Raphson method, the differential Gabor approach can be extended to compute binocular disparity and, hence, to recover the depth structure of the scene. To illustrate the effectiveness of the Gabor wavelet pyramid for recovering depth structure, we synthesized a pair of stereo random-dot images with three centered pyramidal planes. Experimental result shows that the performance of the Gabor wavelet pyramid approach for depth recovery is good and the convergence rate is very fast. An architecture of the differential Gabor wavelet pyramid for binocular disparity computation is proposed. The computational structure of the pyramid is very simple and it is easy to implement with parallel processor.

Paper Details

Date Published: 15 March 1994
PDF: 8 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170020
Show Author Affiliations
Thomas R. Tsao, CompuSensor Technologies, Inc. (United States)
Victor C. Chen, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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