Learn to Combine Multiple Hypotheses for Accurate Face Alignment

@article{Yan2013LearnTC,
  title={Learn to Combine Multiple Hypotheses for Accurate Face Alignment},
  author={Junjie Yan and Zhen Lei and Dong Yi and Stan Z. Li},
  journal={2013 IEEE International Conference on Computer Vision Workshops},
  year={2013},
  pages={392-396}
}
In this paper, we present the details of our method in attending the 300 Faces in-the-wild (300W) challenge. We build our method on cascade regression framework, where a series of regressors are utilized to progressively refine the shape initialized by face detector. In cascade regression, we use the HOG feature in a multi-scale manner, where the large pose validation is handled in early stages by HOG feature at large scale, and then shape is refined at later stages with HOG feature at small… CONTINUE READING
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