A two-stage correlation method for stereoscopic depth estimation

Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

Volumn , Issue , 2010, Pages 227-234

  Einecke, Nils ^a   Eggert, Julian ^a  

^a HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

Author keywords

Cost function; Reduced fattening; Stereoscopic depth

Indexed keywords

BILATERAL FILTERING; CORRELATION VALUE; DEPTH ESTIMATION; DIFFUSION PROCESS; GRAPH-CUT; HIGH CONTRAST; NORMALIZED CROSS-CORRELATION; REDUCED FATTENING; STEREOSCOPIC DEPTH; TWO STAGE;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; CORRELATION METHODS; COST FUNCTIONS; COST REDUCTION;

IMAGE MATCHING;

EID: 79951642844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2010.49     Document Type: Conference Paper

References (19)

1. Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, "Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, pp. 492-504, 2008.
2. A. Banno and K. Ikeuchi, "Disparity map refinement and 3d surface smoothing via directed anisotropic diffusion," in 3-D Digital Imaging and Modeling, 2009, pp. 1870-1877.
3. H. Hirschmüller, "Accurate and efficient stereo processing by semi-global matching and mutual information," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. II: 807-814.
4. Y. Deng and X. Lin, "A fast line segment based dense stereo algorithm using tree dynamic programming," in ECCV, 2006, pp. III: 201-212.
5. K.-J. Yoon and I. S. Kweon, "Adaptive support-weight approach for correspondence search," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 650-656, 2006. (Pubitemid 43264662)
6. S. Mattoccia, S. Giardino, and A. Gambini, "Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering," in ACCV09, 2009, pp. II: 371-380.
7. V. Kolmogorov and R. Zabih, "Multi-camera scene reconstruction via graph cuts," in European Conference on Computer Vision, 2002, pp. III: 82-96.
8. H. Wersing, S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "Online learning of objects in a biologically motivated visual architecture," International Journal of Neural Systems, vol. 17, no. 4, pp. 219-230, 2007. (Pubitemid 47258344)
9. F. Oniga, S. Nedevschi, M. Meinecke, and T. B. To, "Road surface and obstacle detection based on elevation maps from dense stereo," in IEEE Intelligent Transportation Systems Conference, 2007, pp. 859-865.
10. H. Hirschmüller, P. R. Innocent, and J. M. Garibaldi, "Realtime correlation-based stereo vision with reduced border errors," International Journal of Computer Vision, vol. 47, no. 1-3, pp. 229-246, 2002. (Pubitemid 34428433)
11. S. Birchfield and C. Tomasi, "A pixel dissimilarity measure that is insensitive to image sampling," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 401-406, 1998. (Pubitemid 128741986)
12. H. Hirschmüller and D. Scharstein, "Evaluation of cost functions for stereo matching," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
13. R. Zabih and J. Woodfill, "Non-parametric local transforms for computing visual correspondence," in Proceedings of ECCV, 1994, pp. 151-158.
14. D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," International Journal of Computer Vision, vol. 47, no. 1-3, pp. 7-42, April-June 2002. (Pubitemid 34428419)
15. D.-M. Tsai and C.-T. Lin, "Fast normalized cross correlation for defect detection," Pattern Recognition Letters, vol. 24, no. 15, pp. 2625-2631, 2003. (Pubitemid 37027783)
16. M. Z. Brown, D. Burschka, and G. D. Hager, "Advances in computational stereo," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 993-1008, 2003.
17. P. Fua, "A parallel stereo algorithm that produces dense depth maps and preserves image features," Machine Vision and Applications, vol. 6, no. 1, pp. 35-49, 1993.
18. H. Hirschmüller and D. Scharstein, "Evaluation of stereo matching costs on images with radiometric differences," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 9, pp. 1582-1599, September 2009.
19. http://vision.middlebury.edu/stereo/eval.