Stereo Matching Based on Guidance Image and Adaptive Support Region

Lingyin Kong; Jiangping Zhu; Sancong Ying

doi:10.3788/AOS202040.0915001

[1] Li Y T. Research on three dimensional accurate measurement method based on stereo vision[D]. Wuhan: Huazhong University of Science and Technology, 2-10(2016).

[2] Hamzah R A, Ibrahim H. 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, 119-124(2016).

[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, 10322, 1032242(2017).

[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, 8, 89-119(2016).

[5] Žbontar J. LeCun Y. Stereo matching by training a convolutional neural network to compare image patches[J]. The Journal of Machine Learning Research, 17, 1-32(2016).

[6] Pang J H, Sun W X, Ren J S 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, 878-886(2017).

[7] Chang J R, Chen Y S. 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, 5410-5418(2018).

[8] Kolmogorov V, Zabih R. 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, 508-515(2001).

[9] Sun J, Zheng N N, Shum H Y. Stereo matching using belief propagation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 787-800(2003).

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

[11] 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).

[12] 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. New York: IEEE, 467-474(2011).

[13] 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).

[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, 26, 1632-1645(2016).

[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, 19, 1073-1079(2009).

[16] 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).

[17] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

[18] Yang Q X. 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, 1402-1409(2012).

[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, 56, 3411-3420(2017).

[20] Yang Q Q, Ji P, Li D X et al. Fast stereo matching using adaptive guided filtering[J]. Image and Vision Computing, 32, 202-211(2014).

[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, 91, 29-49(2014).

[22] Ma Z Y, He K M, Wei Y C 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, 49-56(2013).

[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, 21, 16-27(2014).

[24] Ma R H, Zhu F, Wu Q X et al. Dense stereo matching algorithm based on image segmentation[J]. Acta Optica Sinica, 39, 0315001(2019).

[25] 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).

[26] Mei X, Sun X, Dong W M 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, 313-320(2013).

[27] Jellal R A, Lange M, Wassermann B 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, 146-152(2017).

[28] He C, Zhang C X, Chen Z 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, 1-5(2017).

[29] Legendre C, Batsos K, Mordohai P. High-resolution stereo matching based on sampled photoconsistency computation[C]//British Machine Vision Conference, September 4-7, 2017, London, UK.(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, 8, 284-287(2019).

[31] Park I K. Deep self-guided cost aggregation for stereo matching[J]. Pattern Recognition Letters, 112, 168-175(2018).

[32] Kitagawa M, Shimizu I, Sara R. 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, 258-261(2017).