Deformation invariant image matching

@article{Ling2005DeformationII,
  title={Deformation invariant image matching},
  author={Haibin Ling and David W. Jacobs},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  year={2005},
  volume={2},
  pages={1466-1473 Vol. 2}
}
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D space, with intensity weighted relative to distance in x-y. We show that as this weight increases, geodesic distances on the embedded surface are less affected by image deformations. In the limit, distances are deformation invariant. We use geodesic sampling to get neighborhood samples for interest points, and then use a… CONTINUE READING
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