See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

@article{Chiu2015SeeTD,
  title={See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
  author={Walon Wei-Chen Chiu and Mario Fritz},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={468-476}
}
The Histogram of Oriented Gradient (HOG) descriptor has led to many advances in computer vision over the last decade and is still part of many state of the art approaches. We realize that the associated feature computation is piecewise differentiable and therefore many pipelines which build on HOG can be made differentiable. This lends to advanced introspection as well as opportunities for end-to-end optimization. We present our implementation of ΔHOG based on the auto-differentiation toolbox… CONTINUE READING
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