A region based stereo matching algorithm using cooperative optimization

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Wang, Zeng Fu ^a   Zheng, Zhi Gang ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COLOR; COMPUTER VISION; CONFORMAL MAPPING; FEATURE EXTRACTION; IMAGE MATCHING; IMAGE PROCESSING; MAPS; OPTICAL PROPERTIES; OPTIMIZATION; PARAMETER ESTIMATION; PATTERN RECOGNITION;

COLOR STATISTICS; COLOR-BASED SEGMENTATION; COOPERATIVE OPTIMIZATION; DISPARITY MAPS; GROUND TRUTH DATA; IMAGE PIXELS; MATCHING METHODS; PLANE FITTING; REFERENCE IMAGES; REGION BASED; REGION ENERGY; STEREO IMAGING; STEREO MATCHING ALGORITHMS; TEST SETS; WINDOW-BASED;

COLOR MATCHING;

EID: 51949119084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587456     Document Type: Conference Paper

References (22)

1. D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms", International Journal of Computer Vision 47(1/2/3), pp. 7-42, 2002.
2. Myron Z. Brown, Darius Burschka and Gregory D. Hager, "Advances in Computational Stereo", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.25, NO.8, August 2003.
3. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts",Transactions on Pattern Analysis and Machine Intelligence 23(11), pp. 1222-1239, 2001.
4. V. Kolmogorov and R. Zabih, "What energy functions can be minimized via graph cuts?", Transactions on Pattern Analysis and Machine Intelligence 26(2), pp. 147-159, 2004
5. J. Sun, N.N. Zheng, and H.Y. Shum. "Stereo matching using belief propagation". Transactions on Pattern Analysis and Machine Intelligence, 25(7):787-800, 2003.
6. A. Fusiello, V. Roberto, and E. Trucco. "Efficient stereo with multiple windowing". In Conference on Computer Vision and Pattern Recognition, pages 858-863, 1997.
7. T. Kanade and M. Okutomi. "A stereo matching algorithm with an adaptive window: Theory and experiment". IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(9):920-932, 1994.
8. O. Veksler. "Stereo correspondence with compact windows via minimum ratio cycle". IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(12):1654-1660, 2002.
9. K.-J. Yoon and I.-S. Kweon. "Locally Adaptive Support-Weight Approach for Visual Correspondence Search". In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), pp.924-931, 2005.
10. H. Tao, H. Sawhney, and R. Kumar. "A global matching framework for stereo computation". In International Conference on Computer Vision, 1, 2001.
11. M. Lin and C. Tomasi. Surfaces with occlusions from layered stereo. Transactions on Pattern Analysis and Machine Intelligence, 26(8):1073-1078, 2004.
12. L. Hong and G. Chen. Segment-based stereo matching using graph cuts. In Conference on Computer Vision and Pattern Recognition, volume 1, pages 74-81, 2004.
13. M. Bleyer and M. Gelautz. "A layered stereo matching algorithm using image segmentation and global visibility constraints". Photogrammetry and Remote Sensing, 59:128-150, 2005.
14. S. T. Birchfield, B. Natarajan, and C. Tomasi. "Correspondence as Energy-based Segmentation". Image and Vision Computing. 2007.
15. J. Shi and C. Tomasi. "Good features to track". In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.593-600, 1994.
16. Mark Gerrits and Philippe Bekaert. ""Local Stereo Matching with Segmentation-based Outlier Rejection . Third Canadian Conference on Computer and Robot Vision, June 2006.
17. Xiaofei Huang. "Cooperative Optimization for Energy Minimization: A Case Study of Stereo Matching", http://front.math.ucdavis.edu/author/X. Huang,cs.CV/0701057, Jan 2007.
18. Pedro F. Felzenszwalb and Daniel P. Huttenlocher. "Efficient Belief Propagation for Early Vision". International Journal of Computer Vision, Vol. 70, No. 1, October 2006.
19. D. Comanicu, P. Meer: "Mean shift: A robust approach toward feature space analysis", IEEE Trans. Pattern Anal. Machine Intell., May 2002.
20. A. Klaus, M. Sormann, and K. Karner, "Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure", ICPR 2006, Vol. 3, pp.15 - 18, 2006.
21. Jian Sun, Yin Li, Sing-Bing Kang and Heung-Yeung Shum., "Symmetric Stereo Matching for Occlusion Handling", CVPR 2005, Vol. 2, pp. 399-406, 2005.
22. Yi Deng, Qiomg Yang, Xueyin Lin, and Xiaoou Tang, "Stereo Correspondence with Occlusion Handling in a Symmetric Patch Based Graph-Cuts Model", IEEE Trans. on PAMI, 29(6):1068-1079,2007.