Journal of Guangdong University of Technology ›› 2018, Vol. 35 ›› Issue (04): 56-60.doi: 10.12052/gdutxb.170166

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A Comparative Study of Close-Range Image Feature Points Matching Methods

Yu Jun-peng, Lin Jie-hong, Zhan Song-hui, Yao Nai-wen   

  1. School of Transportation and Traffic Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2017-12-05 Online:2018-07-09 Published:2018-05-24

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Abstract: Because of flexible shooting mode, the relative geometric deformation between images, one of the main problems of close-range photogrammetry is same name point matching. The SIFT, SURF, FAST + BRIEF, ORB were used to detect and describe the feature points of close-range images under different scenes and photography conditions. The BFMatch and FlannMatch methods were used to match the feature points. Experiments show that the longer the algorithm is, the better the matching result is. SIFT and SURF are both suitable for automatic generation of high-precision connection points. FAST + BRIEF and ORB can be used for stereo image matching with small relative geometric deformation.

Key words: image matching, SIFT, SURF, photogrammetry

CLC Number: 

  • P234.1
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