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Lightweight method of feature point extraction and matching incorporating a progressive strategy

  • 【作者】YANG, Luxia,REN, Jiale,ZHANG, Hongrui,HAN, Rui,CUI, Yaowen,MA, Yongjie
  • 【刊名】Chinese Journal of Liquid Crystals and Displays
  • 【作者单位】aSchool of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China;bShanxi Provincial Key Laboratory of Intelligent Optimization Computing and Blockchain Technology, Taiyuan Normal University, Jinzhong, 030619, China;cSchool of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, 730070, China
  • 【年份】2024
  • 【卷号】Vol.39 No.11
  • 【页码】1544-1556
  • 【ISSN】1007-2780
  • 【关键词】attention mechanism feature point extraction feature point matching lightweight progressive multi-scale feature fusion 
  • 【摘要】 To address the issues of the feature-matching method based on the SuperPoint network, such as low accuracy in feature-point extraction and high computational cost under challenges of lighting, pose and angles, a lightweight feature point extraction a...
  • 【文献类型】 期刊
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