Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting

@inproceedings{Sun2011ContentAI,
  title={Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting},
  author={Yuanchang Sun and Jack Xin},
  booktitle={CAIP},
  year={2011}
}
Image matching is a fundamental problem in computer vision. One of the well-known techniques is SIFT (scale-invariant feature transform). SIFT searches for and extracts robust features in hierarchical image scale spaces for object identification. However it often lacks efficiency as it identifies many insignificant features such as tree leaves and grass tips in a natural building image. We introduce a content adaptive image matching approach by preprocessing the image with a colorentropy based… CONTINUE READING

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