[1] Scharstein D, Szeliski R, Zabih R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[C], 131-140(2001).
[2] Hirschmuller H, Scharstein D. Evaluation of stereo matching costs on images with radiometric differences[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 1582-1599(2009).
[3] Hamzah R A, Ibrahim H. Literature survey on stereo vision disparity map algorithms[J]. Journal of Sensors, 2016, 8742920(2016).
[4] Li Y, Li Z W, Yang C et al. High throughput hardware architecture for accurate semi-global matching[J]. Integration, 65, 417-427(2019).
[5] Yan L, Wang R, Liu H et al. Stereo matching method based on improved cost computation and adaptive guided filter[J]. Acta Optica Sinica, 38, 1115007(2018).
[6] 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).
[7] Yang Q X. A non-local cost aggregation method for stereo matching[C], 1402-1409(2012).
[8] Song W, Wei X Y, Zhang M H et al. Stereo matching based on improved cost calculation and a disparity candidate strategy[J]. Laser & Optoelectronics Progress, 58, 0215001(2021).
[9] Cheng D Q, Zhuang H D, Yu W J et al. Cross-scale local stereo matching based on edge weighting[J]. Laser & Optoelectronics Progress, 56, 211504(2019).
[10] Xiao H, Tian C, Zhang Y et al. Stereo matching algorithm based on improved census transform and gradient fusion[J]. Laser & Optoelectronics Progress, 58, 0215008(2021).
[11] Kong L Y, Zhu J P, Ying S C. Stereo matching based on guidance image and adaptive support region[J]. Acta Optica Sinica, 40, 0915001(2020).
[12] Hirschmuller H. Accurate and efficient stereo processing by semi-global matching and mutual information[C], 807-814(2005).
[13] Li Y S, Zheng S Y, Wang X N et al. An efficient photogrammetric stereo matching method for high-resolution images[J]. Computers & Geosciences, 97, 58-66(2016).
[14] Hirschmüller H. Stereo processing by semiglobal matching and mutual information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 328-341(2008).
[15] Ma R Q, Liao N F, Qiang Y et al. Effect of metamer mismatching on color constancy in two-dimensional simulated scenes[J]. Acta Optica Sinica, 41, 1833001(2021).
[16] Zhu W[M]. OpenCV image processing programming example, 312-313(2016).
[17] Baker S, Scharstein D, Lewis J P et al. A database and evaluation methodology for optical flow[J]. International Journal of Computer Vision, 92, 1-31(2011).
[18] Scharstein D, Hirschmüller H. High-resolution stereo datasets with subpixel-accurate ground truth[C], 31-42(2014).
[19] Humenberger M, Zinner C, Weber M et al. A fast stereo matching algorithm suitable for embedded real-time systems[J]. Computer Vision and Image Understanding, 114, 1180-1202(2010).
[20] Mei X, Sun X, Zhou M C et al. On building an accurate stereo matching system on graphics hardware[C], 467-474(2011).
[21] Humenberger M, Engelke T, Kubinger W. A census-based stereo vision algorithm using modified Semi-Global Matching and plane fitting to improve matching quality[C], 77-84(2010).
[22] Michael M, Salmen J, Stallkamp J et al. Real-time stereo vision: optimizing semi-global matching[C], 1197-1202(2013).
[23] Hirschmuller H. Stereo vision in structured environments by consistent semi-global matching[C], 2386-2393(2006).
[24] Okae J, Du J, Hu Y M. Robust statistical approach to stereo disparity maps denoising and refinement[J]. Control Theory and Technology, 18, 348-361(2020).
[25] Hirschmüller H, Innocent P R, Garibaldi J. Real-time correlation-based stereo vision with reduced border errors[J]. International Journal of Computer Vision, 47, 229-246(2002).
[26] Bapat A, Frahm J M. The domain transform solver[C], 6007-6016(2019).