Variable Window Stereo Matching Based on Phase Congruency

Long Yuan Guo; Chang Yin Sun; Guo Yun Zhang; Jian Hui Wu

doi:10.4028/www.scientific.net/AMM.380-384.3998

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Variable Window Stereo Matching Based on Phase...

Variable Window Stereo Matching Based on Phase Congruency

Abstract:

The major challenge in area stereo matching algorithms is to find appropriate window size and shape. Phase congruency is robust to noise and can reflects the gray changes. With these benefits, the paper first detects image and determines pixels characteristics according to phase congruency. Then, different window will be used to matching according to different feature pixels. After using cost function which combined with non-parametric measure and gray value, the final disparity map will be obtained. The result of experiment indicates that the algorithm can generates more accurate disparity map.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3998-4001

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3998

Citation:

Cite this paper

Online since:

August 2013

Authors:

Long Yuan Guo, Chang Yin Sun, Guo Yun Zhang, Jian Hui Wu

Keywords:

Area-Based Matching, Phase Congruency, Variable Window

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References

[1] T. Kanade and M. Okutomi,. A stereo matching algorithm with adaptive window: Theory and experiment. IEEE transactions on Pattern analysis and Machine Intelligence, 1994, 16(9): 920-932.

DOI: 10.1109/34.310690

Google Scholar

[2] O. Veksler, Stereo matching by compact window via minimum ratio cycle, International Journal of Computer Vision, 2002, 1: 556-561.

DOI: 10.1109/iccv.2001.937563

Google Scholar

[3] K.J. Yoon and I.S. Kweon. Adaptive support weight approach for stereo correspondence search. IEEE Transactions on Pattern analysis and Machine Intelligence, 2005, 28(4): 650-656.

DOI: 10.1109/tpami.2006.70

Google Scholar

[4] P D Kovesi. Phase congruency: A low - level image invariant [J]. Psychological Research, 2000, 64(2): 136-148.

DOI: 10.1007/s004260000024

Google Scholar

[5] P. Kovesi. Phase congruency detects corners and edges. In Proceedings DICTA'03, 2003, pp.309-318.

Google Scholar

[6] X. Mei, X. Sun, M. Zhou, S. Jiao, H. Wang, and X. Zhang. On building an accurate stereo matching system on graphics hardware. IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 Page(s): 467 - 474.

DOI: 10.1109/iccvw.2011.6130280

Google Scholar