Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410010(2021)

Image Matching Algorithm for Fast Scale-Invariant Feature Transformation Based on Mask Search

Yuhao Wang*, Zetian Tang, Minzhe Zhong, Yang Wang, Guangwen Zhao, Caifu Ding, and Chen Yang*
Author Affiliations
  • College of Big Data and Information Engineering, Power Semiconductor Device Reliability Engineering Center of the Ministry of Education, Key Laboratory of Micro-Nano-Electronics and Software Technology of Guizhou Province, Guizhou University, Guiyang, Guizhou 550025, China
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    References(15)

    [1] Wang S. SIFT based image matching algorithm research Xi'an:[D]. Xidian University, 1-9(2013).

    [3] Mur-Artal R, Montiel J MM, Tardos J D. ORB-SLAM: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 31, 1147-1163(2015).

    [7] Ke Y, Sukthankar R. PCA-, 506-513(2004).

    [8] Bay H. Tuytelaars T, van Gool L. SURF: speeded up robust features[M]. ∥Computer Vision - ECCV 2006. Heidelberg: Springer, 404-417(2006).

    [12] Wu Y, Ma W P, Gong M G et al. A novel point-matching algorithm based on fast sample consensus for image registration[J]. IEEE Geoscience and Remote Sensing Letters, 12, 43-47(2015).

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    Yuhao Wang, Zetian Tang, Minzhe Zhong, Yang Wang, Guangwen Zhao, Caifu Ding, Chen Yang. Image Matching Algorithm for Fast Scale-Invariant Feature Transformation Based on Mask Search[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410010

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    Paper Information

    Category: Image Processing

    Received: Jun. 19, 2020

    Accepted: Aug. 7, 2020

    Published Online: Feb. 8, 2021

    The Author Email: Wang Yuhao (wyh920726@163.com), Yang Chen (wyh920726@163.com)

    DOI:10.3788/LOP202158.0410010

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