Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031013(2018)

Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics

Xuesong Liu, Jianxin Shen*, and Yanping Zhang
Author Affiliations
  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
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    References(16)

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    [5] 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).

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    [9] 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).

    [10] Wu F, Wang P. Improved adaptive support-weight algorithm and adjustment[J]. Video Engineering, 36, 19-23(2012).

    [11] Wang L, Liao M, Gong M et al. High-quality real-time stereo using adaptive cost aggregation and dynamic programming. [C]// Proceedings of the third International Symposium on 3D Data Processing, Visualization, and Transmission, 798-805(2006).

    [12] Mattoccia S, Viti M, Ries F. Near real-time fast bilateral stereo on the GPU. [C]// Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition Workshops, 136-143(2011).

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    Xuesong Liu, Jianxin Shen, Yanping Zhang. Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031013

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    Paper Information

    Category: Image processing

    Received: Sep. 13, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Shen Jianxin (cadatc@nuaa.edu.cn)

    DOI:10.3788/LOP55.031013

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