Local Learning to Improve Bag of Visual Words Model for Facial Expression Recognition

@inproceedings{Ionescu2013LocalLT,
  title={Local Learning to Improve Bag of Visual Words Model for Facial Expression Recognition},
  author={Radu Tudor Ionescu and Cristian Grozea},
  year={2013}
}
In this paper we propose a novel computer vision method for classifying human facial expression from low resolution images. Our method uses the bag of words representation. It extracts dense SIFT descriptors either from the whole image or from a spatial pyramid that divides the image into increasingly fine sub-regions. Then, it represents images as normalized (spatial) presence vectors of visual words from a codebook obtained through clustering image descriptors. Linear kernels are built for… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 15 references

Image Classification using Random Forests and Ferns

2007 IEEE 11th International Conference on Computer Vision • 2007
View 6 Excerpts
Highly Influenced

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) • 2006
View 1 Excerpt

A Bayesian hierarchical model for learning natural scene categories

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005

A maximum entropy framework for part-based texture and object recognition

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 • 2005

Histograms of oriented gradients for human detection

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005

Object categorization by learned universal visual dictionary

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 • 2005

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