Exploring the representation capabilities of the HOG descriptor

  title={Exploring the representation capabilities of the HOG descriptor},
  author={Aditya Tatu and François Lauze and Mads Nielsen and Benjamin B. Kimia},
  journal={2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
Object recognition strategies are increasingly based on regional descriptors such as SIFT or HOG at a sparse set of points or on a dense grid of points. Despite their success on databases such as PASCAL and CALTECH, the capability of such a representation in capturing the essential object content of the image is not well-understood: How large is the equivalence class of images sharing the same HOG descriptor? Are all these images from the same object category, and if not, do the non-category… CONTINUE READING