Correspondence

884 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 3, MARCH 2007earlier submission. They would also like to thank Dr. Y. Ohta,Dr. O. Veksler, and Dr. D. Scharstein for sharing their datasets and/orexperimental results.REFERENCES[1] A. F. Bobick and S. S. Intille, “Large occlusion stereo,” Int. J. Comput.Vis., vol. 33, no. 3, pp. 181–200, 1999.[2] S. Forstmann, J. Ohya, Y. Kanou, A. Schmitt, and S. Thuering, “Realtimestereo by using dynamic programming,” in Proc. Computer VisionPattern Recognition Conf., 2004, pp. 29–36.[3] M. Gong and Y.-H. Yang, “Fast stereo matching using reliability-baseddynamic programming and consistency constraints,” in Proc. Int. Conf.Computer Vision, 2003, pp. 610–617.[4] ——, “Fast unambiguous stereo matching using reliability-based dynamicprogramming,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 27,no. 6, pp. 998–1003, Jun. 2005.[5] ——, “Near real-time reliable stereo matching using programmablegraphics hardware,” in Proc. Computer Vision Pattern RecogintionConf., 2005, pp. 924–931.[6] H. Hirschmuller, P. R. Innocent, and J. Garibaldi, “Real-time correlation-basedstereo vision with reduced border errors,” Int. J. Comput.Vis., vol. 47, no. 1–3, 2002.[7] A. Klaus, M. Sormann, and K. Karner, “Segment-based stereomatching using belief propagation and a self-adapting dissimilaritymeasure,” presented at the Int. Conf. Pattern Recognition, 2006.[8] P. Mordohai and G. G. Medioni, “Stereo using monocular cues withinthe tensor voting framework,” IEEE Trans. Pattern Anal. Mach. Intell.,vol. 28, no. 6, pp. 968–982, Jun. 2005.[9] J. Mulligan, V. Isler, and K. Daniilidis, “Trinocular stereo: A real-timealgorithm and its evaluation,” Int. J. Comput. Vis., vol. 47, no. 1–3, pp.51–61, 2002.[10] R. Sara, “Finding the largest unambiguous component of stereomatching,” in Proc. ECCV, 2002, pp. 900–914.[11] D. Scharstein and R. Szeliski, “A taxonomy and evaluation of densetwo-frame stereo correspondence algorithms,” Int. J. Comput. Vis., vol.47, no. 1–3, pp. 7–42, 2002.[12] O. Veksler, “Extracting dense features for visual correspondence withgraph cuts,” presented at the Computer Vision Pattern RecognitionConf., 2003.[13] O. Veksler, “Stereo correspondence by dynamic programming on atree,” presented at the Computer Vision Pattern Recognition Conf.,2005.[14] L. Wang, M. Liao, M. Gong, R. Yang, and D. Nister, “High qualityreal-time stereo using adaptive cost aggregation and dynamic programming,”presented at the 3DPVT, 2006.[15] R. Yang, M. Pollefeys, and S. Li, “Improved real-time stereo on commoditygraphics hardware,” presented at the CVPR Workshop on Real-Time 3D Sensors and Their Use, 2004.