Volume 7 Number 2 (Apr. 2015)
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IJCEE 2015 Vol.7(2): 82-90 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.V7.874

Robust Stereo Matching Method for Radiometric Distortion between Images

Phuc Nguyen Hong, Musrrat Ali, Chang Wook Ahn
Abstract—Stereo images are unavoidably distorted by radiometric distortion, even though the stereo images are taken in the controlled conditions. However, the majority of the existing stereo matching methods assume that corresponding pixels in a stereo pair have same intensity values, so their performances degrade significantly using stereo images with radiometric variations. In this paper, we propose a novel local stereo matching method that can operate robustly with stereo images captured with different illuminations and exposures between two cameras. We exploit Kemeny and Snell’s distance to compute matching cost values and use segmentation-based plane fitting to locally smooth the matching cost values. We conduct experiments using the proposed method and compare it with belief propagation, census transform-based, and adaptive normalized cross correlation stereo matching methods. Experimental results show that our proposed matching method outperforms the test stereo matching methods under radiometric differences.

Index Terms—Stereo matching, plane fitting, radiometric distortion, images.

The authors are with the Computer Engineering Department, Sungkyunkwan University, Suwon, Republic of Korea.

Cite:Phuc Nguyen Hong, Musrrat Ali, Chang Wook Ahn, "Robust Stereo Matching Method for Radiometric Distortion between Images," International Journal of Computer and Electrical Engineering vol. 7, no. 2, pp. 82-90, 2015.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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