Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1433002(2021)

Stereo Matching Based on Improved Census Transformation and Adaptive Support Region

Yingguang Chen1, Pei Zhou1,2、*, Jiangping Zhu1,2, and Sancong Ying1,2
Author Affiliations
  • 1National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, Sichuan 610065, China
  • 2College of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China
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    References(24)

    [1] Shen S H. Accurate multiple view 3D reconstruction using patch-based stereo for large-scale scenes[J]. IEEE Transactions on Image Processing, 22, 1901-1914(2013).

    [2] Howard A. Real-time stereo visual odometry for autonomous ground vehicles[C]. //2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Nice, France., 3946-3952(2008).

    [3] Kim J C, Lee K M, Choi B T et al. A dense stereo matching using two-pass dynamic programming with generalized ground control points[C]. //2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), June 20-25, 2005, San Diego, CA, USA., 1075-1082(2005).

    [4] Bleyer M, Gelautz M. Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions[J]. Signal Processing: Image Communication, 22, 127-143(2007).

    [5] Li J, Qian W X, Chen Q et al. An efficient stereo matching method based on Bayesian theory[J]. Laser & Optoelectronics Progress, 51, 101001(2014).

    [6] Felzenszwalb P F, Huttenlocher D R. Efficient belief propagation for early vision[C]. //Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, June 27-July 2, 2004, Washington, D.C., USA.(2004).

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

    [8] 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).

    [9] Birchfield S, Tomasi C. Depth discontinuities by pixel-to-pixel stereo[C]. //Sixth International Conference on Computer Vision, January 7, 1998, Bombay, India., 1073-1080(1998).

    [10] 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).

    [11] 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] 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).

    [13] 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).

    [14] Huang C, Zhao H Z. Semi-global stereo matching with adaptive window based on grayscale value[J]. Journal of Image and Graphics, 24, 1381-1390(2019).

    [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] Gong W B, Gu G H, Qian W X et al. Stereo matching algorithm based on the inter color correlation and adaptive support weight[J]. Chinese Journal of Lasers, 41, 0812001(2014).

    [17] Ou Y D, Xie X P. A multi-feature stereo matching algorithm based on improved Census transform[J]. Computer Engineering & Science, 42, 1030-1036(2020).

    [18] Lee Z, Juang J, Nguyen T Q. Local disparity estimation with three-moded cross Census and advanced support weight[J]. IEEE Transactions on Multimedia, 15, 1855-1864(2013).

    [19] Zhu S P, Yan L N, Li Z. Stereo matching algorithm based on improved census transform and dynamic programming[J]. Acta Optica Sinica, 36, 0415001(2016).

    [20] Li D H, Shen H Y, Yu X et al. Binocular ranging method using stereo matching based on improved Census transform[J]. Laser & Optoelectronics Progress, 56, 111503(2019).

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

    [22] Zhang J, Wang J X. A semi-global stereo matching algorithm combining color information and Census transformation[J]. Science of Surveying and Mapping, 44, 147-152(2019).

    [23] Wang L, Yang R G. Global stereo matching leveraged by sparse ground control points[C]. // Computer Vision & Pattern Recognition(CVPR) 2011, June 20-25, 2011, Colorado Springs, CO, USA., 3033-3040(2011).

    [24] Liu J, Zhang J X, Dai Y et al. Dense stereo matching based on cross-scale guided image filtering[J]. Acta Optica Sinica, 38, 0115004(2018).

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    Yingguang Chen, Pei Zhou, Jiangping Zhu, Sancong Ying. Stereo Matching Based on Improved Census Transformation and Adaptive Support Region[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1433002

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    Paper Information

    Category: Vision, Color, and Visual Optics

    Received: Sep. 24, 2020

    Accepted: Dec. 2, 2020

    Published Online: Jul. 14, 2021

    The Author Email: Pei Zhou (michille78@163.com)

    DOI:10.3788/LOP202158.1433002

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