Weighted voting of sparse representation classifiers for facial expression recognition

@article{Cotter2010WeightedVO,
  title={Weighted voting of sparse representation classifiers for facial expression recognition},
  author={Shane F. Cotter},
  journal={2010 18th European Signal Processing Conference},
  year={2010},
  pages={1164-1168}
}
  • Shane F. Cotter
  • Published 2010 in 2010 18th European Signal Processing Conference
We present a new algorithm for facial expression recognition that is robust to occlusion. The facial image is divided into equal sized regions, and a Sparse Representation Classifier (SRC) classifies the facial expression in each region. These classification decisions must be combined and different voting methods were considered. A weighted voting method where the vote assigned to each class in a region was based on the class representation error led to the best recognition results under a… CONTINUE READING

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