Stereo matching based on phase congruency corner detector

Hui Ding; Mengyin Fu

doi:10.1117/12.716942

24 October 2006 Stereo matching based on phase congruency corner detector

Hui Ding, Mengyin Fu

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 635716 (2006) https://doi.org/10.1117/12.716942
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Feature point matching is the most common one among all kinds of stereo matching. However, since feature points are unique, the disparity map through feature matching is also sparse. In this paper, proposed a dense disparity estimation method that combines the reliability of feature-based correspondence methods and a reliable feature operator. The new operator uses the principal moments of the phase congruency information to determine corner information. The resulting corner operator is highly localized and has responses that are invariant to image contrast. This results in reliable feature detection under varying illumination conditions with fixed thresholds. Selecting those feature points that allow left-right correspondence based on phase correlation surrounding each point. And use the sparse correspondences at feature points as a constraint to control the computation of dense disparity via regularized block matching that minimizes matching and disparity smoothness errors. Experimental results show that this method can eliminate many kinds of outliers effectively.

Citation Download Citation

Hui Ding and Mengyin Fu "Stereo matching based on phase congruency corner detector", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635716 (24 October 2006); https://doi.org/10.1117/12.716942

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KEYWORDS

Sensors

Fourier transforms

Venus

Detection and tracking algorithms

Feature extraction

Signal analyzers

Corner detection

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