Global Gaussian approach for scene categorization using information geometry

@article{Nakayama2010GlobalGA,
  title={Global Gaussian approach for scene categorization using information geometry},
  author={Hideki Nakayama and Tatsuya Harada and Yasuo Kuniyoshi},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={2336-2343}
}
Local features provide powerful cues for generic image recognition. An image is represented by a “bag” of local features, which form a probabilistic distribution in the feature space. The problem is how to exploit the distributions efficiently. One of the most successful approaches is the bag-of-keypoints scheme, which can be interpreted as sparse sampling of high-level statistics, in the sense that it describes a complex structure of a local feature distribution using a relatively small number… CONTINUE READING
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