Localizing Parts of Faces Using a Consensus of Exemplars

  title={Localizing Parts of Faces Using a Consensus of Exemplars},
  author={Peter N. Belhumeur and David W. Jacobs and David J. Kriegman and Neeraj Kumar},
  journal={CVPR 2011},
We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images. By assuming that the global models generate the part locations as hidden variables, we derive a Bayesian objective function. This function is optimized using a consensus of models for these hidden variables. The resulting localizer handles a much wider range… CONTINUE READING
Highly Influential
This paper has highly influenced 194 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 854 citations. REVIEW CITATIONS
506 Citations
25 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 506 extracted citations

855 Citations

Citations per Year
Semantic Scholar estimates that this publication has 855 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…