DeepMatching: Hierarchical Deformable Dense Matching

@article{Revaud2016DeepMatchingHD,
  title={DeepMatching: Hierarchical Deformable Dense Matching},
  author={J{\'e}r{\^o}me Revaud and Philippe Weinzaepfel and Za{\"i}d Harchaoui and Cordelia Schmid},
  journal={International Journal of Computer Vision},
  year={2016},
  volume={120},
  pages={300-323}
}
We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. DeepMatching relies on a hierarchical, multi-layer, correlational architecture designed for matching images and was inspired by deep convolutional approaches. The proposed matching algorithm can handle non-rigid deformations and repetitive textures and efficiently determines dense correspondences in the presence of significant changes between images. We evaluate the performance of… CONTINUE READING
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