基于引导图像和自适应支持域的立体匹配 下载: 1240次
孔令寅, 朱江平, 应三丛. 基于引导图像和自适应支持域的立体匹配[J]. 光学学报, 2020, 40(9): 0915001.
Lingyin Kong, Jiangping Zhu, Sancong Ying. Stereo Matching Based on Guidance Image and Adaptive Support Region[J]. Acta Optica Sinica, 2020, 40(9): 0915001.
[1] 李云廷. 基于立体视觉的三维精确测量方法研究[D]. 武汉: 华中科技大学, 2016: 2- 10.
Li YT. Research on three dimensional accurate measurement method based on stereo vision[D]. Wuhan: Huazhong University of Science and Technology, 2016: 2- 10.
[2] Hamzah RA, IbrahimH, Hassan A H A. Stereo matching algorithm for 3D surface reconstruction based on triangulation principle[C]//2016 1st International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), August 23-24, 2016, Yogyakarta, Indonesia. New York: IEEE, 2016: 119- 124.
[3] Ge Z, Zhu Y, Liang G H. A 3D terrain reconstruction method of stereo vision based quadruped robot navigation system[J]. Proceedings of SPIE, 2017, 10322: 1032242.
[4] Xiao X W, Guo B X, Li D R, et al. Multi-view stereo matching based on self-adaptive patch and image grouping for multiple unmanned aerial vehicle imagery[J]. Remote Sensing, 2016, 8(2): 89-119.
[5] Žbontar J. LeCun Y. Stereo matching by training a convolutional neural network to compare image patches[J]. The Journal of Machine Learning Research, 2016, 17(1): 1-32.
[6] Pang JH, Sun WX, Ren JS, et al. Cascade residual learning: a two-stage convolutional neural network for stereo matching[C]//2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy. New York: IEEE, 2017: 878- 886.
[7] Chang JR, Chen YS. Pyramid stereo matching network[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT. New York: IEEE, 2018: 5410- 5418.
[8] KolmogorovV, ZabihR. Computing visual correspondence with occlusions using graph cuts[C]//Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, July 7-14, 2001, Vancouver, BC, Canada. New York: IEEE, 2001: 508- 515.
[9] Sun J, Zheng N N, Shum H Y. Stereo matching using belief propagation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(7): 787-800.
[10] Hirschmüller H. Stereo processing by semiglobal matching and mutual information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2): 328-341.
[11] Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 2002, 47: 7-42.
[12] MeiX, SunX, Zhou MC, 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. New York: IEEE, 2011: 467- 474.
[13] Zhu S P, Yan L N. Local stereo matching algorithm with efficient matching cost and adaptive guided image filter[J]. The Visual Computer, 2017, 33(9): 1087-1102.
[14] Zhan Y L, Gu Y Z, Huang K, et al. Accurate image-guided stereo matching with efficient matching cost and disparity refinement[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(9): 1632-1645.
[15] 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, 2009, 19(7): 1073-1079.
[16] 闫利, 王芮, 刘华, 等. 基于改进代价计算和自适应引导滤波的立体匹配[J]. 光学学报, 2018, 38(11): 1115007.
[18] Yang QX. A non-local cost aggregation method for stereo matching[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI. New York: IEEE, 2012: 1402- 1409.
[19] Li L C, Yu X, Zhang S L, et al. 3D cost aggregation with multiple minimum spanning trees for stereo matching[J]. Applied Optics, 2017, 56(12): 3411-3420.
[21] Stentoumis C, Grammatikopoulos L, Kalisperakis I, et al. On accurate dense stereo-matching using a local adaptive multi-cost approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 91: 29-49.
[22] Ma ZY, He KM, Wei YC, et al. Constant time weighted median filtering for stereo matching and beyond[C]//2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, Australia. New York: IEEE, 2013: 49- 56.
[23] Jiao J B, Wang R G, Wang W M, et al. Local stereo matching with improved matching cost and disparity refinement[J]. IEEE Multimedia, 2014, 21(4): 16-27.
[24] 马瑞浩, 朱枫, 吴清潇, 等. 基于图像分割的稠密立体匹配算法[J]. 光学学报, 2019, 39(3): 0315001.
[26] MeiX, SunX, Dong WM, et al. Segment-tree based cost aggregation for stereo matching[C]//2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 2013: 313- 320.
[27] Jellal RA, LangeM, WassermannB, et al. LS-ELAS: line segment based efficient large scale stereo matching[C]//2017 IEEE International Conference on Robotics and Automation (ICRA), May 29-June 3, 2017, Singapore. New York: IEEE, 2017: 146- 152.
[28] HeC, Zhang CX, ChenZ, et al. Minimum spanning tree based stereo matching using image edge and brightness information[C]//2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), October 14-16, 2017, Shanghai, China. New York: IEEE, 2017: 1- 5.
[29] LegendreC, BatsosK, MordohaiP. High-resolution stereo matching based on sampled photoconsistency computation[C]//British Machine Vision Conference, September 4-7, 2017, London, UK.Guildford: BMVA Press, 2017.
[30] Razak S S A, et al. The effect of adaptive weighted bilateral filter on stereo matching algorithm[J]. International Journal of Engineering and Advanced Technology, 2019, 8(3): 284-287.
[31] Park I K. Deep self-guided cost aggregation for stereo matching[J]. Pattern Recognition Letters, 2018, 112: 168-175.
[32] KitagawaM, ShimizuI, SaraR. High accuracy local stereo matching using DoG scale map[C]//2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), May 8-12, 2017, Nagoya, Japan. New York: IEEE, 2017: 258- 261.
孔令寅, 朱江平, 应三丛. 基于引导图像和自适应支持域的立体匹配[J]. 光学学报, 2020, 40(9): 0915001. Lingyin Kong, Jiangping Zhu, Sancong Ying. Stereo Matching Based on Guidance Image and Adaptive Support Region[J]. Acta Optica Sinica, 2020, 40(9): 0915001.