[1] 单宝华, 霍晓洋, 刘洋. 一种极线约束修正数字图像相关匹配的立体视觉测量方法[J]. 中国激光, 2017, 44(8): 0804003.

    Shan B H, Huo X Y, Liu Y. A stereovision measurement method using epipolar constraint to correct digital image correlation matching[J]. Chinese Journal of Lasers, 2017, 44(8): 0804003.

[2] 桑新柱, 于迅博, 陈铎, 等. 三维光显示技术研究进展[J]. 激光与光电子学进展, 2017, 54(5): 050006.

    Sang X Z, Yu X B, Chen D, et al. Research progress on three-dimensional optical display technology[J]. Laser & Optoelectronics Progress, 2017, 54(5): 050006.

[3] 龚文彪, 顾国华, 钱惟贤, 等. 基于图像分割和自适应支撑权重的立体匹配算法[J]. 光学学报, 2015, 35(s2): s210002.

    Gong W B, Gu G H, Qian W X, et al. Stereo matching algorithm based on image segmentation and adaptive support weight[J]. Acta Optica Sinica, 2015, 35(s2): s210002.

[4] Besse F, Rother C, Fitzgibbon A, et al. PMBP: Patch Match belief propagation for correspondence field estimation[J]. International Journal of Computer Vision, 2014, 110(1): 2-13.

[5] 祝世平, 闫利那, 李政. 基于改进Census变换和动态规划的立体匹配算法[J]. 光学学报, 2016, 36(4): 0415001.

    Zhu S P, Yan L N, Li Z. Stereo matching algorithm based on improved Census transform and dynamic programming[J]. Acta Optica Sinica, 2016, 36(4): 0415001.

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

[7] 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.

[8] EineckeN, EddertJ. A two-stage correlation method for stereoscopic depth estimation[C]. 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA).2010: 227- 234.

[9] 龚文彪, 顾国华, 钱惟贤, 等. 基于颜色内相关和自适应支撑权重的立体匹配算法[J]. 中国激光, 2014, 41(8): 0812001.

    Gong W B, Gu G H, Qian W X, et al. Stereo matching algorithm based on the inter color correlation and adaptive support weight[J]. Chinese Journal of Lasers, 2014, 41(8): 0812001.

[10] 吴方, 王沛. 一种改进的自适应权重立体匹配算法与校正[J]. 电视技术, 2012, 36(11): 19-23.

    Wu F, Wang P. Improved adaptive support-weight algorithm and adjustment[J]. Video Engineering, 2012, 36(11): 19-23.

[11] WangL, LiaoM, GongM, et al. High-quality real-time stereo using adaptive cost aggregation and dynamic programming[C]// Proceedings of the third International Symposium on 3D Data Processing, Visualization, and Transmission, 2006: 798- 805.

[12] MattocciaS, VitiM, RiesF. Near real-time fast bilateral stereo on the GPU[C]// Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition Workshops, 2011: 136- 143.

[13] LeiC, SelzerJ, YangY. Region-tree based stereo using dynamic programming optimization[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006: 2378- 2385.

[14] Yang Q X, Wang L, Yang R G, et al. Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(3): 492-504.

[15] Yang Q X. Hardware-efficient bilateral filtering for stereo matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(5): 1026-1032.

[16] Zhang K, Lu J, 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.