On building an accurate stereo matching system on graphics hardware

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 467-474

  Mei, Xing ^a,b   Sun, Xun ^a   Zhou, Mingcai ^a   Jiao, Shaohui ^a   Wang, Haitao ^a   Zhang, Xiaopeng ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHICS HARDWARE; MULTI-STEP; OPTIMIZATION FRAMEWORK; REFINEMENT PROCESS; SCANLINE; STEREO MATCHING; STEREO VIDEO SEQUENCES;

COMPUTER HARDWARE; IMAGE PROCESSING;

STEREO VISION;

EID: 84863060370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130280     Document Type: Conference Paper

References (25)

1. K. He, J. Sun, and X. Tang. Guided image filtering. In Proc. ECCV, 2010.
2. H. Hirschm̈uller. Stereo processing by semiglobal matching and mutual information. IEEE TPAMI, 30(2):328-341, 2008.
3. H. Hirschm̈uller and D. Scharstein. Evaluation of stereo matching costs on images with radiometric differences. IEEE TPAMI, 31(9):1582-1599, 2009.
4. A. Hosni, M. Bleyer, and M. Gelautz. Near real-time stereo with adaptive support weight approaches. In Proc. 3DPVT, 2010.
5. A. Hosni, M. Bleyer, M. Gelautz, and C. Rheman. Local stereo matching using geodesic support weights. In Proc. ICIP, pages 2093-2096, 2009.
6. A. Klaus, M. Sormann, and K. Karner. Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure. In ICPR, pages 15-18, 2006.
7. J. Liu and J. Sun. Parallel graph-cuts by adaptive bottom-up merging. In Proc. CVPR, pages 2181-2188, 2010.
8. S. Mattoccia, F. Tombari, and L. D. Stefano. Stereo vision enabling precise border localization within a scanline optimization framework. In Proc. ACCV, pages 517-527, 2007.
9. C. Rhemann, A. Hosni, M. Bleyer, C. Rother, and M. Gelautz. Fast cost-volume filtering for visual correspondence and beyond. In Proc. CVPR, 2011.
10. C. Richardt, D. Orr, I. Davies, A. Criminisi, and N. A. Dodgson. Real-time spatiotemporal stereo matching using the dual-cross-bilateral grid. In Proc. ECCV, pages 6311-6316, 2010.
11. D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV, 47(1-3):7-42, 2002.
12. D. Scharstein and R. Szeliski. Middlebury stereo evaluation-version 2, 2010. http://vision.middlebury.edu/stereo/eval/.
13. X. Sun, X. Mei, S. Jiao, M. Zhou, and H. Wang. Stereo matching with reliable disparity propagation. In Proc. 3DIMPVT, pages 132-139, 2011.
14. R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother. A comparative study of energy minimization methods for markov random fields with smoothness-based priors. IEEE TPAMI, 30(6):1068-1080, 2008.
15. C. Tomasi and R. Manduchi. Bilateral filtering for gray and color images. In Proc. ICCV, pages 839-846, 1998.
16. F. Tombari, S. Mattoccia, and L. D. Stefano. Segmentationbased adaptive support for accurate stereo correspondence. In Proc. PSIVT, pages 427-438, 2007.
17. Z. Wang and Z. Zheng. A region based stereo matching algorithm using cooperative optimization. In Proc. CVPR, pages 1-8, 2008.
18. Y. Wei, C. Tsuhan, F. Franz, and C. H. James. High performance stereo vision designed for massively data parallel platforms. IEEE TCSVT, 99:1-11, 2010.
19. Q. Yang, C. Engels, and A. Akbarzadeh. Near real-time stereo for weakly-textured scenes. In Proc. BMVC, pages 80-87, 2008.
20. Q. Yang, L. Wang, R. Yang, H. Steẃenius, and D. Nist́er. Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling. IEEE TPAMI, 31(3):492-504, 2009.
21. K. J. Yoon and I. S. Kweon. Adaptive support-weight approach for correspondence search. IEEE TPAMI, 28(4):650-656, 2006.
22. R. Zabih and J. Woodfill. Non-parametric local transforms for computing visual correspondence. In Proc. ECCV, pages 151-158, 1994.
23. K. Zhang, J. Lu, and G. Lafruit. Cross-based local stereo matching using orthogonal integral images. IEEE TCSVT, 19(7):1073-1079, 2009.
24. K. Zhang, J. Lu, G. Lafruit, R. Lauwereins, and L. V. Gool. Real-time accurate stereo with bitwise fast voting on cuda. In Proc. ICCV Workshop, 2009.
25. L. Zhang and S. M. Seitz. Estimating optimal parameters for mrf stereo from a single image pair. IEEE TPAMI, 29(2):331-342, 2007.