Marc Mouret

Learn More
We propose to use hidden Markov models (HMMs) to classify images. Images are modeled by extracting symbols corresponding to 3×3 binary neighborhoods of interest points, and by ordering these symbols by decreasing saliency order , thus obtaining strings of symbols. HMMs are learned from sets of strings modeling classes of images. The method has been tested(More)
  • 1