›› 2012, Vol. ›› Issue (03): 749-753.

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Best matching point extraction based on corrective constraint matching and projective constraint

HE Kai, HE Hai-long, ZOU Gang, YUAN Zhong-wen, MU Cong-chong   

  1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2011-01-11 Online:2012-05-01

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Abstract: First, to get rid of the unstable and false corners, the candidate matching points are obtained with the corrective constraint matching method. Second, based on the stability of the corners in the process of affine transformation, the images are initially matched. Finally, by setting the condition of coplanar point projective constraint, the relative highest accurate matching points are selected as the best matching corners. Experiments show that the best matching points selected by the proposed method are robust to the added noise and interference, and ideal registration effect can be achieved even for real images with serious added noises and interference.

Key words: information processing, image registration, correlative constraint matching, projective constraint

CLC Number: 

  • TN911.73
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