[1] Shen S H. Accurate multiple view 3D reconstruction using patch-based stereo for large-scale scenes[J]. IEEE Transactions on Image Processing, 2013, 22(5): 1901-1914.

[2] d’AngeloP, ReinartzP. Semiglobal matching results on the ISPRS stereo matching benchmark[C]∥High-Resolution Earth Imaging for Geospatial Information, 2012: 79- 84.

[3] HowardA. Real-time stereo visual odometry for autonomous ground vehicles[C]∥IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008: 3946- 3952.

[4] Scharstein D, Szeliski R. Ataxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 2002, 47(1/2/3): 7-42.

[5] SunJ, Shum HY, Zheng NN. Stereo matching using belief propagation[C]∥European Conference on Computer Vision, 2002: 510- 524.

[6] KlausA, SormannM, KarnerK. Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure[C]∥International Conference on Pattern Recognition, 2006: 15- 18.

[7] KolmogorovV, ZabihR. Computing visual correspondence with occlusions using graph cuts[C]∥Eighth IEEE International Conference on Computer Vision, 2001, 2: 508- 515.

[8] Meerbergen GV, VergauwenM, PollefeysM, et al. A hierarchical stereo algorithm using dynamic programming[C]. Stereo and Multi-Baseline Vision, 2002: 166- 174.

[9] 许金鑫, 李庆武, 刘艳, 等. 基于色彩权值和树形动态规划的立体匹配算[J]. 光学学报, 2017, 37(12): 1215007.

    Xu J X, Li Q W, Liu Y, et al. Stereo matching algorithm based on color weights and tree dynamic programming[J]. Acta Optica Sinica, 2017, 37(12): 1215007.

[10] Hirschmuller H. Stereo processing by semiglobal matching and mutual information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2): 328-341.

[11] Birchfield S, Tomasi C. Depth discontinuities by pixel-to-pixel stereo[J]. International Journal of Computer Vision, 1999, 35(3): 269-293.

[12] ZabihR, WoodfillJ. Non-parametric local transforms for computing visual correspondence[C]∥European Conference on Computer Vision, 1994: 151- 158.

[13] Hosni A, Bleyer M, Gelautz M. Secrets of adaptive support weight techniques for local stereo matching[J]. Computer Vision and Image Understanding, 2013, 117(6): 620-632.

[14] MeiX, SunX, ZhouM, et al. On building an accurate stereo matching system on graphics hardware[C]∥IEEE International Conference on Computer Vision Workshops, 2011: 467- 474.

[15] Zhu S P, Yan L N. Local stereo matching algorithm with efficient matching cost and adaptive guided image filter[J]. Visual Computer, 2017, 33(9): 1087-1102.

[16] 周秀芝, 文贡坚, 王润生. 自适应窗口快速立体匹配[J]. 计算机学报, 2006, 29(3): 473-479.

    Zhou X Z, Wen G J, Wang R S. Fast stereo matching using adaptive window[J]. Chinese Journal of Computers, 2006, 29(3): 473-479.

[17] Zhang K, Lu J B, Lafruit G. Cross-based local stereo matching using orthogonal integral images[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(7): 1073-1079.

[18] Yoon K J, Kweon I S. Adaptive support-weight approach for correspondence search[J]. IEEE Transactions on Pattern Analysisand Machine Intelligence, 2006, 28(4): 650-656.

[19] Hosni A, Rhemann C, Bleyer M, et al. Fast cost-volume filtering for visual correspondence and beyond[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(2): 504-511.

[20] 彭建建, 白瑞林. 基于水平树结构的可变权重代价聚合立体匹配算法[J]. 光学学报, 2018, 38(1): 0115002.

    Peng J J, Bai R L. Variable weight cost aggregation algorithm for stereo matching based on horizontal tree structure[J]. Acta Optica Sinica, 2018, 38(1): 0115002.

[21] 祝世平, 李政. 基于改进梯度和自适应窗口的立体匹配算法[J]. 光学学报, 2015, 35(1): 0110003.

    Zhu S P, Li Z. Astereo matching algorithm using improved gradient and adaptive window[J]. Acta Optica Sinica, 2015, 35(1): 0110003.

[22] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

[23] Yang Q Q, Ji P, Li D X, et al. Fast stereo matching using adaptive guided filtering[J]. Image and Vision Computing, 2014, 32(3): 202-211.

[24] De-Maeztu L, Villanueva A, Cabeza R. Stereo matching using gradient similarity and locally adaptive support-weight[J]. Pattern Recognition Letters, 2011, 32(13): 1643-1651.

[25] HirschmullerH, ScharsteinD. Evaluation of cost functions for stereo matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1- 8.

[26] Hirschmuller H, Scharstein D. Evaluation of stereo matching costs on images with radiometric differences[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(9): 1582-1599.

[27] Zuiderveld K. Contrast limited adaptive histogram equalization[J]. Graphics Gems, 1994: 474-485.

[28] MaZ, HeK, WeiY, et al. Constant time weighted median filtering for stereo matching and beyond[C]∥Proceedings of the IEEE International Conference on Computer Vision, 2013: 49- 56.

[29] YangQ, YangR, DavisJ, et al. Spatial-depth super resolution for range images[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1- 8.

[30] Scharstein D, Szeliski R. Middlebury stereo evaluation-version 2[J]. The Middlebury Computer Vision Pages, 2011.

[31] ZhangK, FangY, MinD, et al. Cross-scale cost aggregation for stereo matching[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1590- 1597.