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Image Matching Based on Improved Harris Criterion Algorithm

Authors
Publisher
ACADEMY PUBLISHER
Publication Date
Keywords
  • Image Matching
  • Feature Points Extraction
  • Sift Features
  • Harris Criterion
  • Graph Transformation Matching
Disciplines
  • Computer Science

Abstract

This paper proposes a local invariant feature for image matching based on Harris threshold criterion. Based on the extraction of SIFT invariant features, this algorithm chooses the effective features from the extracted invariant features utilizing Harris threshold criterion, which removes lots of feature points with poor distinction, thus gains relatively stable and better distinctive feature points. Secondly, complete the precise matching between the feature point sets combined the invariant feature vector with graph transformation matching method. Experimental results show the feasibility and robustness of this method in image matching

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