Stefano L D, Marchionni M, Mattoccia S. A Fast Area-Based Stereo Matching Algorithm. Image and Vision Computing, 2004, 22(12): 983-1005
[2]
Moallem P, Faez K. Search Space Reduction in the Edge Based Stereo Matching by Context of Disparity Gradient Limit // Proc of the 2nd International Symposium on Image and Signal Processing and Analysis. Pula, Germany, 2001: 164-169
[3]
van Ee R, Schor C M. Unconstrained Stereoscopic Matching of Lines. Vision Research, 2000, 40(2): 151-162
[4]
Kim J C, Lee K M, Choi B T, et al. A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, Ⅱ: 1075-1082
[5]
Sun Jian, Zheng Nanning, Shum Y H. Stereo Matching Using Belief Propagation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(7): 787-800
[6]
Boykov Y, Veksler O, Zabih R. Fast Approximate Energy Minimization via Graph Cuts. IEEE Trans on Pattern Analysis and Machine Intelligence, 2001, 23(11): 1222-1239
[7]
Belhumeur P N, Mumford D. A Bayesian Treatment of the Stereo Correspondence Problem Using Half-Occluded Regions // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Los Alamitos, USA,1992: 506-512
[8]
Yoon K J, Kweon I S. Adaptive Support-Weight Approach for Correspondence Search. IEEE Trans on Pattern Analysis and Machine Intelligence, 2006, 28(4): 650-656
[9]
Hirschmüller H. Improvements in Real-Time Correlation Based Stereo Vision // Proc of the IEEE Workshop on Stereo and Multi-Baseline Vision. Hawaii, USA, 2001: 141-148
[10]
Veksler O. Stereo Matching by Compact Windows via Minimum Ratio Cycle // Proc of the 8th IEEE International Conference on Computer Vision. Vancouver, Canada, 2001: 540-547
[11]
Wang L, Kang S B, Shum H Y. Cooperative Segmentation and Stereo Using Perspective Space Search // Proc of the Asia Conference on Computer Vision. Juju Island, Korea, 2004, Ⅰ: 366-371
[12]
Bobick A F, Intille S S. Large Occlusion Stereo. International Journal of Computer Vision, 1999, 33(3): 181-200
[13]
Veksler O. Stereo Correspondence by Dynamic Programming on a Tree // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, Ⅱ: 384-390
[14]
Gong Minglun, Yang Y H. Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, Ⅰ: 924-931
[15]
Hirschmüller H. Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, Ⅱ: 807-814
[16]
Zhang Z Y. A Flexible New Technique for Camera Calibration. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(1): 1330-1334
[17]
Fusiello A, Trucco E, Verri A. A Compact Algorithm for Rectification of Stereo Pairs. Machine Vision and Applications, 2000, 12(1): 16-22
[18]
Manduchi R, Tomasi C. Distinctiveness Maps for Image Matching // Proc of the 10th International Conference on Image Analysis and Processing. Washington, USA, 1999: 26-31
[19]
Yoon K J, Kweon I S. Distinctive Similarity Measure for Stereo Matching under Point Ambiguity // Proc of the 11th IEEE International Conference on Computer Vision. Rio de Janeiro, Brazil, 2007: 1-7
[20]
Zhang Ke, Lu Jiangbo, Lafruit G. Scalable Stereo Matching with Locally Adaptive Polygon Approximation // Proc of the International Conference on Image Processing. San Diego, USA, 2008: 313-316
[21]
Lu Jiangbo, Lafruit G, Catthoor F. Anisotropic Local High-Confidence Voting for Accurate Stereo Correspondence. Proc of the SPIE, 2008, 6812: 1-11
[22]
Bleyer M, Gelautz M. Simple but Effective Tree Structures for Dynamic Programming-Based Stereo Matching // Proc of the International Conference on Computer Vision Theory and Applications. Funchal, Portugal, 2008, Ⅱ: 415-422
[23]
Oh J D, Ma S W, Kuo C C J. Stereo Matching via Disparity Estimation and Surface Modeling // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Minneapolis, USA, 2007: 1-8
