Share Email Print
cover

Proceedings Paper

Stereo matching based on phase congruency corner detector
Author(s): Hui Ding; Mengyin Fu
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 24 October 2006
PDF: 6 pages
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); doi: 10.1117/12.716942
Show Author Affiliations
Hui Ding, Beijing Institute of Technology (China)
Mengyin Fu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top