Global Gaussian approach for scene categorization using information geometry

  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},
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
Highly Cited
This paper has 57 citations. REVIEW CITATIONS

9 Figures & Tables



Citations per Year

57 Citations

Semantic Scholar estimates that this publication has 57 citations based on the available data.

See our FAQ for additional information.