More robust face recognition by considering occlusion information

@article{Rama2008MoreRF,
  title={More robust face recognition by considering occlusion information},
  author={Antonio Rama and Francesc Tarres and Lutz Goldmann and Thomas Sikora},
  journal={2008 8th IEEE International Conference on Automatic Face & Gesture Recognition},
  year={2008},
  pages={1-6}
}
This paper addresses one of the main challenges of face recognition (FR): facial occlusions. Currently, the human brain is the most robust known FR approach towards partially occluded faces. Nevertheless, it is still not clear if humans recognize faces using a holistic or a component-based strategy, or even a combination of both. In this paper, three different approaches based on principal component analysis (PCA) are analyzed. The first one, a holistic approach, is the well-known eigenface… CONTINUE READING
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