Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0215004(2025)

Adaptive Stereo Matching Based on Local Information Entropy and Improved AD-Census Transform

Jingfa Lei1,2,3、*, Zihan Wei1,2, Yongling Li1,2,3, Ruhai Zhao1,2, and Miao Zhang1,2
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, Anhui , China
  • 2Key Laboratory of Intelligent Manufacturing of Construction Machinery, Anhui Education Department, Hefei 230601, Anhui , China
  • 3Sichuan Provincial Key Laboratory of Process Equipment and Control Engineering, Zigong 643000, Sichuan , China
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    References(24)

    [1] Liu L F, Yuan D C, Zhang L X. Binocular vision method for measuring shaft-in-hole assembly parameters[J]. Laser & Optoelectronics Progress, 60, 1615003(2023).

    [2] Feng Z, Xu X Y, Zheng Y X et al. Multi-object monocular SLAM based on instance segmentation and 3D reconstruction in dynamic scene[J]. Chinese Journal of Scientific Instrument, 44, 51-62(2023).

    [14] Yang C Y, Song Z R, Zhang X. A stereo matching algorithm for coal mine underground images based on threshold and weight under census Transform[J]. Coal Science and Technology, 52, 216-225(2024).

    [17] 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).

    [19] Wang S, Wei H, Meng L J. Stereo matching algorithm based on control points, RGB vector difference and gradient census transform[J]. Pattern Recognition and Artificial Intelligence, 35, 37-50(2022).

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    Jingfa Lei, Zihan Wei, Yongling Li, Ruhai Zhao, Miao Zhang. Adaptive Stereo Matching Based on Local Information Entropy and Improved AD-Census Transform[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0215004

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    Paper Information

    Category: Machine Vision

    Received: Mar. 26, 2024

    Accepted: Jun. 4, 2024

    Published Online: Jan. 6, 2025

    The Author Email:

    DOI:10.3788/LOP240968

    CSTR:32186.14.LOP240968

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