Acta Optica Sinica, Volume. 38, Issue 6, 0615003(2018)

Local Binary Description Combined with Superpixel Segmentation Refinement for Stereo Matching

Yan Liu1,2, Qingwu Li1,2、*, Guanying Huo1,2, and Jun Xing1
Author Affiliations
  • 1 College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China
  • 2 Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou, Jiangsu 213022, China
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    References(19)

    [1] Shan B H, Huo X Y, Liu Y. A stereovision measurement method using epipolar constraint to correct digital image correlation matching[J]. Chinese Journal of Lasers, 44, 0804003(2017).

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    [6] Yao P, Zhang H, Xue Y et al. Iterative color-depth MST cost aggregation for stereo matching[C]. IEEE International Conference on Multimedia and Expo, 1-6(2016).

    [9] Guo S, Xu P, Zheng Y. Semi-global matching based disparity estimate using fast Census transform[C]. International Congress on Image and Signal Processing, Biomedical Engineering and Informatics, 548-552(2017).

    [10] Zhu S P, Yan L N, Li Z. A stereo matching algorithm using improved gradient and adaptive window[J]. Acta Optica Sinica, 36, 0415001(2016).

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    [14] Calonder M, Lepetit V, Strecha C et al. Brief: binary robust independent elementary features[C]. European Conference on Computer Vision, 6314, 778-792(2010).

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    Yan Liu, Qingwu Li, Guanying Huo, Jun Xing. Local Binary Description Combined with Superpixel Segmentation Refinement for Stereo Matching[J]. Acta Optica Sinica, 2018, 38(6): 0615003

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    Paper Information

    Category: Machine Vision

    Received: Nov. 3, 2017

    Accepted: --

    Published Online: Jul. 9, 2018

    The Author Email: Li Qingwu (li_qingwu@163.com)

    DOI:10.3788/AOS201838.0615003

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