Wang Z F, Zheng Z G. A region based stereo matching algorithm using cooperative optimization[C]//Proceedings of Computer Vision and Pattern Recognition.Anchorage, Alaska: IEEE Computer Society Press, 2008: 1-8. [DOI: 10.1109/CVPR. 2008. 4587456]
[2]
Di Stefano L, Marchionni M, Mattoccia S. A fast area-based stereo matching algorithm [J]. Image Vision Computer, 2004, 22(12): 983-1005. [10.1016/j.imavis.2004.03.009]
[3]
Zhou D X, Cai X P, Sun M Y. A feature-constrained stereo matching algorithm [J]. Journal of Image and Graphics, 2001, 6(7): 653-656.[周东翔,蔡宣平,孙茂印. 一种基于特征约束的立体匹配算法[J].中国图象图形学报,2001, 6(7): 653-656][DOI:10.11834/jig200107144]
[4]
Scharstein D. Matching images by comparing their gradient fields [C]//Proceedings of IEEE Pattern Recognition. Jerusalem, Israel: IEEE Computer Society Press, 1994, 1:572-575. [DOI: 10.1109/ICPR.1994.576363]
[5]
Huang X F. Cooperative optimization for energy minimization: a case study of stereo matching[EB/OL]. [2013-06-11]. http://front.math.ucdavis.edu/author/X.Huang cs.
[6]
Verksler 0. Stereo correspondence by dynamic programming on a tree[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA USA: IEEE Computer Society Press, 2005,2: 384-390. [DOI: 10.1109/CVPR.2005.334]
[7]
Vladimir K, Pascal M, Pauline T. Kolmogorov and Zabih\'s graph cuts stereo matching algorithm[EB/OL]. [2013-06-11].http://dev.ipol.im/monasse/ipol_demo/kmt_stereo_with_graph_cuts/.
[8]
Zhu Q B, Wang H Y. Handling occlusions method for stereo correspondence using graph cuts [J]. Journal of Huazhong University of Science and Technology, 2010, 38(1): 81-84.[朱清波,王宏远. 使用图像分割的遮挡恢复立体匹配算法[J]. 华中科技大学学报,2010,38(1): 81-84]
[9]
He F, Da F P. Stereo matching using belief propagation and local edge construction-based cost aggregation [J]. Journal of Image and Graphics, 2011, 16(11): 2060-2066. [何？,达飞鹏. 置信度传播和区域边缘构建的立体匹配算法[J].中国图象图形学报, 2011, 16(11): 2060-2066][DOI:10.11834/jig.20111116]
[10]
Kanade T, Okutomi M. A stereo matching algorithm with an adaptive window-theory and experiment[J]. IEEE Tran. on Pattern Anal., 1994, 16(9): 920-32. [DOI: 10.1109/ROBOT.1991. 131738]
[11]
Yoon K J, Kweon I S. Locally adaptive support-weight approach for visual correspondence search[C]//Proceedings of IEEE Computer Society Conference on the Computer Vision and Pattern Recognition. San Diego, CA, USA: IEEE Computer Society Press, 2005: 20-26 .[DOI: 10.1109/CVPR.2005.218]
[12]
Zhang K, Lu J, Lafruit G. Cross-based local stereo matching using orthogonal integral images [J]. IEEE Trans. on Circuits Syst. Video Technol., 2009, 19(7): 1073-1079. [DOI: 10.1109/TCSVT.2009.2020478]
[13]
Scharstein D, Szeliski R. Middlebury Stereo Benchmark[EB/OL].[2013-06-11]. http://vision.middlebury.edu/stereo.
