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Proceedings Paper

Using Gabor decomposition to improve dense disparity estimation
Author(s): Mohammed H. Ouali; Djemel Ziou; Claude Laurgeau
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Paper Abstract

In this paper, we present a phase difference-based disparity estimation algorithm embedded in a cooperative multiscale scheme. We show that a reformulation of both the phase difference and the instantaneous frequency improves the density of the estimates. We define admissibility criteria of disparities. These criteria are based on both the magnitude and the phase linearity of the responses to increase the accuracy of the estimates but to the detriment of the density. By combining the multiscale estimates, the density is improved. Experimentations are reported for each criterion as well as for the multiscale combination. A performance analysis shows that the results obtained are very satisfactory.

Paper Details

Date Published: 18 October 1999
PDF: 11 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365876
Show Author Affiliations
Mohammed H. Ouali, Univ. of Sherbrooke and Ecole des Mines de Paris (Canada)
Djemel Ziou, Univ. of Sherbrooke (Canada)
Claude Laurgeau, Ecole des Mines de Paris (France)

Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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