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Computer Science ›› 2018, Vol. 45 ›› Issue (5): 228-231.doi: 10.11896/j.issn.1002-137X.2018.05.039

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Feature Matching Algorithm Based on Visual Feature Constrained Energy Minimization

LIU Zhao-xia, SHAO Feng, JING Yu and QI Rui-hua   

  • Online:2018-05-15 Published:2018-07-25

Abstract: The aerial remote sensing image captured on the sea has the characteristics of monotonous and similar patterns,which may result in mismatches in feature matching.In order to remove the mismatches and simplify the matching process,a novel feature matching algorithm based on the constrained energy minimization of SIFT feature(CEM-SIFT) was proposed.In the algorithm,a finite-impulse response filter is designed and visual information is used to compute the output energy.In the constraints imposed by desired signature,the filter output energy is minimized.Ten pairs of seaice aerial images were utilized to evaluate the performance.The experimental results show that the proposed algorithm CEM-SIFT is more accurate than the euclidean distance of SIFT feature(ED-SIFT) when matching an image with many repetitive features and large point set scale.

Key words: Feature matching,SIFT,Constrained energy minimization(CEM),Visual feature

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