Near real-time stereo matching using geodesic diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 34, Issue 2, 2012, Pages 410-416

  De Maeztu, Leonardo ^a   Villanueva, Arantxa ^a   Cabeza, Rafael ^a  

^a PUBLIC UNIVERSITY OF NAVARRE   (Spain)

Author keywords

3D stereo scene analysis; Stereo

Indexed keywords

3D/STEREO SCENE ANALYSIS; AGGREGATION ALGORITHMS; AGGREGATION METHODS; ANISOTROPIC DIFFUSION; COMPUTATIONAL REQUIREMENTS; GPU IMPLEMENTATION; IMAGE FILTERING; REAL TIME PERFORMANCE; REAL TIME STEREO; REAL-TIME IMPLEMENTATIONS; STATE OF THE ART; STEREO; STEREO MATCHING;

ADAPTIVE ALGORITHMS; AGGLOMERATION; REAL TIME CONTROL;

IMAGE MATCHING;

EID: 84055212076     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.192     Document Type: Article

References (21)

1. D. Scharstein and R. Szeliski, "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms," Int'l J. Computer Vision, vol. 47, nos. 1-3, pp. 7-42, 2002. (Pubitemid 34428419)
2. A. Fusiello, V. Roberto, and E. Trucco, "Efficient Stereo with Multiple Windowing," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 858-863, 1997.
3. A.F. Bobick and S.S. Intille, "Large Occlusion Stereo," Int'l J. Computer Vision, vol. 33, no. 3, pp. 181-200, 1999. (Pubitemid 30514595)
4. T. Kanade and M. Okutomi, "Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 9, pp. 920-932, Sept. 1994.
5. Y. Boykov, O. Veksler, and R.I. Zabi, "A Variable Window Approach to Early Vision," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 12, pp. 1283-1294, Dec. 1998. (Pubitemid 128741373)
6. O. Veksler, "Fast Variable Window for Stereo Correspondence Using Integral Images," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. I-556-I-561, 2003.
7. K.-J. Yoon and I.S. Kweon, "Adaptive Support-Weight Approach for Correspondence Search," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 4, pp. 650-656, Apr. 2006. (Pubitemid 43264662)
8. A. Hosni, M. Bleyer, M. Gelautz, and C. Rhemann, "Local Stereo Matching Using Geodesic Support Weights," Proc. Int'l Conf. Image Processing, pp. 2093-2096, 2009.
9. P. Perona and J. Malik, "Scale-Space and Edge Detection Using Anisotropic Diffusion," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 629-639, July 1990. (Pubitemid 20726016)
10. D. Min and K. Sohn, "Cost Aggregation and Occlusion Handling with WLS in Stereo Matching," IEEE Trans. Image Processing, vol. 17, no. 8, pp. 1431-1442, Aug. 2008.
11. K.-J. Yoon, Y. Jeong, and I.-S. Kweon, "Support Aggregation via Non Linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching," Proc. Ninth Asian Conf. Computer Vision, no. 1, pp. 25-36, 2009.
12. M. Gong, R. Yang, L. Wang, and M. Gong, "A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching," Int'l J. Computer Vision, vol. 75, no. 2, pp. 283-296, 2007. (Pubitemid 47293423)
13. F. Tombari, S. Mattoccia, L.D. Stefano, and E. Addimanda, "Classification and Evaluation of Cost Aggregation Methods for Stereo Correspondence," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.
14. H. Hirschmüller, "Stereo Processing by Semiglobal Matching and Mutual Information," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 328-341, Feb. 2008.
15. D. Scharstein and R. Szeliski, "Stereo Matching with Nonlinear Diffusion," Int'l J. Computer Vision, vol. 28, no. 2, pp. 155-174, 1998. (Pubitemid 128524472)
16. L. Wang, M. Liao, M. Gong, R. Yang, and D. Nistér, "High-Quality RealTime Stereo Using Adaptive Cost Aggregation and Dynamic Programming," Proc. Third Int'l Symp. 3D Data Processing, Visualization, and Transmission, pp. 798-805, 2007.
17. C. Richardt, D. Orr, I. Davies, A. Criminisi, and N. Dodgson, "Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid," Proc. 11th European Conf. Computer Vision, pp. 510-523, 2010.
18. A. Hosni, M. Bleyer, and M. Gelautz, "Near Real-Time Stereo with Adaptive Support Weight Approaches," Proc. Int'l Symp. 3D Data Processing, Visualization, and Transmission, pp. 1-8, 2010.
19. F. Tombari, S. Mattoccia, and L.D. Stefano, "Segmentation-Based Adaptive Support for Accurate Stereo Correspondence," Proc. Second Pacific Rim Conf. Advances in Image, 2007.
20. D. Scharstein and R. Szeliski, Middlebury Stereo Evaluation-Version 2, http://vision.middlebury.edu/stereo/eval, 2011.
21. C. Tomasi and R. Manduchi, "Bilateral Filtering for Gray and Color Images," Proc. IEEE Int'l Conf. Computer Vision, pp. 839-846, 1998.