Matching Image with Multiple Local Features

@article{Cao2010MatchingIW,
  title={Matching Image with Multiple Local Features},
  author={Yudong Cao and Honggang Zhang and Yanyan Gao and Xiaojun Xu and Jun Guo},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={519-522}
}
In this paper, we present the fusional feature composed of Affine-SIFT, MSER and color moment invariants. The fusional feature is more robust and distinctive than a single local feature. Instead of adding three local features together simply, an efficient two-level matching strategy is devised with the fusional feature, which speeds up the establishment of the local correspondences. To remove partial false positives, an affine transformation is estimated with the weighted RANSAC which decreases… CONTINUE READING
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