[2] Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 47, 7-42(2002).
[3] Kolmogorov V, Zabih R. Computing visual correspondence with occlusionsusing graph cuts[C]∥ Proceedings of 8th IEEE International Conference on Computer Vision, July 7-14, 2001, Vancouver, BC, Canada., 508-515(2001).
[5] Birchfield S, Tomasi C. Depth discontinuities by pixel-to-pixel stereo[J]. International Journal of Computer Vision, 35, 269-293(1999).
[6] Scharstein D. Matching images by comparing their gradient fields[C]∥Proceedings of 12th International Conference on Pattern Recognition, October 9-13, 1994, Jerusalem, Israel., 572-575(1994).
[7] Zabih R, Woodfill J. Non-parametric local transforms for computing visual correspondence. [C]∥ Eklundh J O. Computer Vision: ECCV'94. Berlin, Heidelberg: Springer, 801, 151-158(1994).
[10] Mei X, Sun X, Zhou M C et al. On building an accurate stereo matching system on graphics hardware[C]∥2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), November 6-13, 2011, Barcelona, Spain., 467-474(2011).
[12] Guo X, Wang Y J, Fu D H et al. A weight guided filtering matching algorithm combining three measures[J]. Computer Engineering & Science, 41, 1044-1049(2019).
[14] Wang Y F, Wu W, Yu X L et al. A stereo matching system with the adaptive weight AD-census[J]. Advanced Engineering Sciences, 50, 153-160(2018).
[16] Salehian B, Raie A, Fotouhi A et al. Efficient interscanline consistency enforcing method for dynamic programming-based dense stereo matching algorithms[J]. Journal of Electronic Imaging, 22, 043028(2013).
[20] Zhang K, Fang Y Q, Min D B et al. Cross-scale cost aggregation for stereo matching[C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 1590-1597(2014).
[22] Zhu S P, Yan L N. Local stereo matching algorithm with efficient matching cost and adaptive guided image filter[J]. The Visual Computer, 33, 1087-1102(2017).
[23] Scharstein D, Szeliski R. High-accuracy stereo depth maps using structured light[C]∥2003 IEEE Conference on Computer Vision and Pattern Recognition, June 18-20, 2003, Madison, WI, USA., 7762284(2003).
[24] Scharstein D, Pal C. Learning conditional random fields for stereo[C]∥IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, Minneapolis, MN, USA., 9738080(2007).
[25] Mattoccia S, Tombari F, Stefano L D. Stereo vision enabling precise border localization within a scanline optimization framework. [C]∥ Proceedings of Asian Conference on Computer Vision, Berlin/Heidelberg: Springer-Verlag, 517-527(2007).