DeepMatching: Hierarchical Deformable Dense Matching

@article{Revaud2016DeepMatchingHD,
  title={DeepMatching: Hierarchical Deformable Dense Matching},
  author={J{\'e}r{\^o}me Revaud and Philippe Weinzaepfel and Z. Harchaoui and C. Schmid},
  journal={International Journal of Computer Vision},
  year={2016},
  volume={120},
  pages={300-323}
}
  • Jérôme Revaud, Philippe Weinzaepfel, +1 author C. Schmid
  • Published 2016
  • Computer Science
  • International Journal of Computer Vision
  • We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. [...] Key Method We also apply DeepMatching to the computation of optical flow, called DeepFlow, by integrating it in the large displacement optical flow (LDOF) approach of Brox and Malik (Large displacement optical flow: descriptor matching in variational motion estimation, 2011). Additional robustness to large displacements and complex motion is obtained thanks to our matching approach. DeepFlow…Expand Abstract
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