Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2215006(2022)

An Overall Matching Algorithm for Image Feature Points in Visual Navigation

Gaojie Wang1、*, Xiangyang Hao1, and Shufeng Miao2
Author Affiliations
  • 1Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, Henan, China
  • 2Wuhan Kedao Geographical Information Engineering Co., Ltd., Wuhan 430081, Hubei, China
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    References(19)

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    [8] Zhu Q G, Zhang P Z, Li H L et al. Investigation on the image matching algorithm based on global and local feature fusion[J]. Chinese Journal of Scientific Instrument, 37, 170-176(2016).

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    [14] Wang H, Zhang S W, Xu K. A real-time adaptive RANSAC algorithm applied in image matching[J]. Electronics Optics & Control, 27, 90-93, 97(2020).

    [15] Yang X G, Chen Y X, Liu S et al. Research on estimating method of quick-repair time for aviation equipment[J]. Fire Control & Command Control, 37, 96-98(2012).

    [16] Jia K K, Zhang Z J, Hao X Y. Novel method on features tracking for multi-image matching[J]. Journal of System Simulation, 29, 1147-1152(2017).

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    Gaojie Wang, Xiangyang Hao, Shufeng Miao. An Overall Matching Algorithm for Image Feature Points in Visual Navigation[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215006

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    Paper Information

    Category: Machine Vision

    Received: Jul. 2, 2021

    Accepted: Oct. 19, 2021

    Published Online: Oct. 12, 2022

    The Author Email: Gaojie Wang (gaojiewang2014@163.com)

    DOI:10.3788/LOP202259.2215006

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