[1] Zhang Y J[M]. Image understanding and computer vision, 34-35(2000).

[2] Ma S D, Zhang Z Y[M]. Computer vision: fundamentals of computational theory and algorithms, 72-78(1998).

[3] Marr David[M]. 视觉: 对人类如何表示和处理视觉信息的计算研究, 10-11(2022).

     Marr D[M]. Vision: a computational investigation into the human representation and processing of visual information, 10-11(2022).

[4] Li Y T. Research on three dimensional accurate measurement method based on stereo vision[D](2016).

[5] Yang X L, Xu Y H, Ye L J et al. Research progress on binocular stereo vision applications[J]. Laser & Optoelectronics Progress, 60, 0811010(2023).

[6] 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, 19, 1073-1079(2009).

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

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

[9] Marr D[M]. Vision(1982).

[10] Barnard S T. Computational stereo[J]. ACM Computing Surveys, 14, 553-572(1982).

[11] Koschan A. What is new in computational stereo since 1989: a survey on current stereo papers[EB/OL]. https://www.imaging.utk.edu/~koschan/paper/Stereo-Report2.1.pdf

[12] 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).

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

[15] 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, 35, 504-511(2013).

[16] Chen D M, Ardabilian M, Chen L M. A fast trilateral filter-based adaptive support weight method for stereo matching[J]. IEEE Transactions on Circuits and Systems for Video Technology, 25, 730-743(2015).

[17] Liu B, Liang Q, Yang Y Y. An adaptive window stereo matching based on seed voting[C], 771-774(2014).

[18] Xu Z Y, Liu Y G, Du S L et al. DFOB: detecting and describing features by octagon filter bank for fast image matching[J]. Signal Processing: Image Communication, 41, 61-71(2016).

[19] Su S. Extraction algorithm and implementation of 3D texture-less planar structure in stereo vision[D](2019).

[20] Chang Y W, Zhao D Q, Shan Y H. Research on stereo matching algorithm based on multi-feature fusion and adaptive aggregation[J]. Computer Engineering and Applications, 57, 219-225(2021).

[21] Wang D, Hu L L. Improved feature stereo matching method based on binocular vision[J]. Acta Electronica Sinica, 50, 157-166(2022).

[22] Chen Y, Yu J Y, Yu H S. Multi-scale fusion stereo matching algorithm based on adaptive texture region[J]. Computer Engineering and Applications, 59, 198-206(2023).

[23] Peng Q H, Zhao T Q, Liu C K et al. A robust feature matching method for wide-baseline lunar images[J]. Acta Optica Sinica, 43, 2410001(2023).

[24] Wu F P, Huang G N, Liu Y H et al. Stereo matching algorithm based on multi-feature SAD-Census transformation[J]. Chinese Optics, 17, 278-290(2024).

[25] Meng F N, Zou Y J, Cao Y et al. Stereo matching algorithm based on adaptive spatial convolution[J]. Laser & Optoelectronics Progress, 62, 0815012(2025).

[26] Lei J F, Wei Z H, Li Y L et al. Adaptive stereo matching based on local information entropy and improved AD-Census transform[J]. Laser & Optoelectronics Progress, 62, 0215004(2025).