Laser & Optoelectronics Progress, Volume. 59, Issue 8, 0810011(2022)

Stereo Matching Algorithm Based on Improved Census Transform and Multi-Feature Fusion

Wenjie Yu1, Song Ye2, Yu Guo1、*, and Jian Guo1
Author Affiliations
  • 1School of Automation, Nanjing University of Science & Technology, Nanjing , Jiangsu 210094, China
  • 2The Third Construction Co., Ltd. of China Construction Eighth Engineering Division, Nanjing , Jiangsu 210023, China
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    References(15)

    [2] Luo S Q, Jia Z S. Fast stereo matching algorithm based on dynamic programming[J]. Computer Engineering, 41, 224-231(2015).

    [4] Gong W B, Gu G H, Qian W X. Stereo matching algorithm based on image segmentation and adaptive support weight[J]. Acta Optical Sinica, 35, s210002(2015).

    [7] Ma X, Zhu S Q, Lai X B. An image matching algorithm based on improved Rank transform[J]. Transducer and Microsystem Technologies, 30, 128-130, 134(2011).

    [8] 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).

    [10] Xiao H, Tian C, Zhang Y et al. Stereo matching algorithm based on improve Census and gradient fusion[J]. Laser & Optoelectronics Progress, 58, 0215008(2021).

    [13] Zhang H, Liu H L, Xu K et al. Fast cross-scale cost aggregation for stereo matching via dynamic support windows[J]. Computer Engineering and Applications, 51, 151-156, 216(2015).

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    Wenjie Yu, Song Ye, Yu Guo, Jian Guo. Stereo Matching Algorithm Based on Improved Census Transform and Multi-Feature Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0810011

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    Paper Information

    Category: Image Processing

    Received: Mar. 29, 2021

    Accepted: Apr. 29, 2021

    Published Online: Apr. 11, 2022

    The Author Email: Guo Yu (guoyu@njust.edu.cn)

    DOI:10.3788/LOP202259.0810011

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