Gabor wavelet pyramid for depth recovery

Thomas R. Tsao; Victor C. Chen

doi:10.1117/12.170020

15 March 1994 Gabor wavelet pyramid for depth recovery

Thomas R. Tsao, Victor C. Chen

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170020
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Thomas R. Tsao and Victor C. Chen "Gabor wavelet pyramid for depth recovery", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170020

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