[1] Ye LI, Yanjun FU, Kejun ZHONG et al. A virtual binocular line-structured light measurement method based on a plane mirror. Optics Communications, 510, 127974(2022).
[2] Shui HU, Jun ZHANG. An adaptive kernel correlation filter algorithm and synchronization error correction method for 3D motion reconstruction of flexible flapping wings using binocular vision. Measurement, 228, 114388(2024).
[3] Jinkui CHU, Jianhua CHEN, Jinshan LI et al. Polarized light/binocular vision bionic integrated navigation method. Acta Optica Sinica, 50, 0528001(2021).
[4] Lu LIU, Pan ZHU, Jiaxi GUAN et al. A binocular reconstruction method fused with laplacian image information for pavement texture evaluation. Measurement, 185, 110039(2021).
[5] Lu DENG, Tao SUN, Liang YANG et al. Binocular video-based 3D reconstruction and length quantification of cracks in concrete structures. Automation in Construction, 148, 104743(2023).
[6] Jianye LIU, Sufeng ZHUANG, Dawei TU et al. Underwater modeling and calibration method of binocular stereo vision imaging system. Acta Photonica Sinica, 51, 1211002(2022).
[7] Xin TIAN, Rui LIU, Zhongyuan WANG et al. High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision. Information Fusion, 77, 19-28(2022).
[8] D SCHARSTEIN, R SZELISKI. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47, 7-42(2002).
[9] Jingxue WANG, Zhenghui XU. Minimum spanning tree dynamic programming stereo-matching method based on superpixels. The Photogrammetric Record, 38, 63-80(2023).
[10] Baoli LU, Liang SUN, Lina YU et al. An improved graph cut algorithm in stereo matching. Displays, 69, 102052(2021).
[11] T TATSUNORI, M YASUYUKI, S YOICHI et al. Continuous 3D label stereo matching using local expansion moves. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 2725-2739(2018).
[12] P MATTEO, K SEUNGRYONG, T FABIO et al. On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 5293-5313(2022).
[13] K HOSSEIN, D ARDESHIR, L KAMRAN. Stereo matching by using a new local descriptor based on sign and order in belief propagation algorithm. Displays, 75, 102300(2022).
[14] Chuang PAN, Yiqi LIU, Daoping HUANG. Novel belief propagation algorithm for stereo matching with a robust cost computation. IEEE Access, 729699-29708(2019).
[15] Xing MEI, Xun SUN, Mingcai ZHOU et al. On building an accurate stereo matching system on graphics hardware, 467-474(2011).
[16] Dejun LI, Kang CHENG, Cheng WANG et al. Stereo matching method of distribution box hole image based on improved AD-Census algorithm. Journal of Physics: Conference Series, 2428, 012035(2023).
[17] Qiang LI, Ziyang DUAN, Yifan ZHANG et al. Stereo matching algorithm based on cross-scale random walk. Journal of South China University of Technology(Natural Science Edition), 48, 84-92(2020).
[18] Kang ZHANG, Yuqiang FANG, Dongbo MIN et al. Cross-scale cost aggregation for stereo matching. IEEE Transactions on Circuits and Systems for Video Technology, 27, 965-976(2017).
[19] Peixuan LI, Pengfei LIU, Feidao CAO et al. Weight-adaptive cross-scale algorithm for stereo matching. Acta Optica Sinica, 38, 248-253(2018).
[20] Wenbiao GONG, Guohua GU, Weixian QIAN et al. Stereo matching algorithm based on inter color correlation and adaptive support weight. Chinese Journal of Lasers, 41, 256-261(2014).
[21] Shiping ZHU, Zheng LI. A stereo matching algorithm using improved gradient and adaptive window. Acta Optica Sinica, 35, 0110003(2015).
[22] Jianjian PENG, Ruilin BAI. Variable weight cost aggregated stereo matching algorithm based on horizontal tree structure. Acta Optica Sinica, 38, 214-221(2018).
[23] Yutong JIANG, Changming SUN, Xiao TAN et al. Orientation-guided geodesic weighting for PatchMatch-based stereo matching. Information Sciences, 334-335, 293-306(2016).
[24] K HOSSEIN, D ARDESHIR, L KAMRAN. Stereo matching by using a new local descriptor based on sign and order in belief propagation algorithm. Displays, 75, 102300(2022).
[25] Qingxiong YANG. A non-local cost aggregation method for stereo matching, 1402-1409(2012).
[26] Chenglong XU, Chengdong WU, Daokui QU et al. Accurate and efficient stereo matching by log-angle and pyramid-tree. IEEE Transactions on Circuits and Systems for Video Technology, 31, 4007-4019(2021).
[27] Li YAN, Rui WANG, Hua LIU et al. Stereo matching method based on improved cost computation and adaptive guided filter. Acta Optica Sinica, 38, 257-267(2018).
[28] A RADHAKRISHNA, S APPU, S KEVIN et al. SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis & Machine Intelligence, 34, 2274-2282(2012).
[29] H HIRSCHMÜLLER. Accurate and efficient stereo processing by semi-global matching and mutual information, 2, 807-814(2005).
[30] Qingqing YANG. Local smoothness enforced cost volume regularization for fast stereo correspondence. IEEE Signal Processing Letters, 22, 1429-1433(2015).
[31] Shiqiang ZHU, Zhi WANG, Xuequn ZHANG et al. Edge-preserving guided filtering based cost aggregation for stereo matching. Journal of Visual Communication and Image Representation, 39, 107-119(2016).
[32] M BLEYER, C RHEMANN, C ROTHER. PatchMatch stereo - stereo matching with slanted support windows(2011).