Discovering and Aligning Discriminative Mid-level Features for Image Classification

@article{Sicre2014DiscoveringAA,
  title={Discovering and Aligning Discriminative Mid-level Features for Image Classification},
  author={Ronan Sicre and Fr{\'e}d{\'e}ric Jurie},
  journal={2014 22nd International Conference on Pattern Recognition},
  year={2014},
  pages={1975-1980}
}
This paper proposes a new algorithm for image recognition, which consists of (i) modeling categories as a set of distinctive parts that are discovered automatically, (ii) aligning them across images while learning their visual model, and, finally (iii) encode images as sets of part descriptors. The so-obtained parts are free of any appearance constraint and are optimized to allow the distinction between the categories to be recognized. The algorithm starts by extracting a set of random regions… CONTINUE READING

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