Browse > Article
http://dx.doi.org/10.6109/jkiice.2012.16.3.407

Stereo Matching Algorithm by using Color Information  

An, Jae-Woo (광운대학교 전자공학과)
Yoo, Ji-Sang (광운대학교 전지공학과)
Abstract
In this paper, we propose a new stereo matching algorithm by using color information especially for stereo images containing human beings in the applications such as tele-presence system. In the proposed algorithm, we first remove the background regions by using a threshold value for stereo images obtained by stereo camera and then find an initial disparity map and segment a given image into R, G, B and white color components. We also obtain edges in the segmented image and estimate the disparity from the extract boundary regions. Finally, we generate the final disparity map by properly combining the disparity map of each color component. Experiment results show better performance compared with the window based method and the dynamic programing method especially for stereo images with human being.
Keywords
Stereo matching; Disparity map; Window based stereo matching; Color information;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. El-Etriby, A. Al-Hamadi, and B. ichaelis., "Dense stereo correspondence with slanted surface using phase-based algorithm", IEEE International Symposium on Industrial Electronics, pp. 1807-1813, June 2007.
2 O. Veksler, "Fast variable window for stereo correspondence using integral images", Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 556-561, 2003.
3 안재우, 유지상, "영역 분할을 통한 스테레오 정합 기법", 2011년 한국방송공학회 추계학술대회, 2011 년 10월.
4 Taehee Lee, and Hollerer, T., "Hybrid feature tracking and user interaction for markerless augmented reality", Virtual Reality Conference '08, IEEE, pp. 145-152, March 2008.
5 황선규, "영상처리 프로그래밍 by Visual C++", 한빛미디어, pp. 660-671, pp. 684-695, 2007년.
6 A. Klaus, M. Sormann, and K. Karner, "Segment based stereo matching using belief propagation and a self-adapting dissimilarity measure", ICPR '06, vol. 3, pp. 15-18, 2006.
7 Michael Bleyer and Margrit Gelautz, "A layered stereo algorithm using segmentation and global visibility constraints", ICIP '04. vol. 5. pp. 2997-3000, 2004.
8 Y. Fisher, "Fractal Image Compression", Springer-verlage, New York, Inc. pp. 251-263, 1995.
9 Brown, M.Z., Burschka, D., and Hager, G.D., "Advances in computational stereo", IEEE Transactions on PAMI, vol. 25, iss. 8, pp. 993-1008, Aug. 2003.   DOI   ScienceOn
10 P.F. Felzenszwalb and D.P. Huttenlocher, "Efficient belief propagation for early vision", IEEE Conf. Computer Vision and Pattern Recognition, June 2004.
11 Scharstein, D., Szeliski, R., and Zabih, R., "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms", IEEE Workshop on Stereo and Multi-Baseline Vision, 2001(SMBV 2001), pp. 131-140, Dec. 2001.