One millisecond face alignment with an ensemble of regression trees

@article{Kazemi2014OneMF,
  title={One millisecond face alignment with an ensemble of regression trees},
  author={Vahid Kazemi and Josephine Sullivan},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={1867-1874}
}
This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark positions directly from a sparse subset of pixel intensities, achieving super-realtime performance with high quality predictions. We present a general framework based on gradient boosting for learning an ensemble of regression trees that optimizes the sum of square error loss and naturally handles missing or partially labelled data. We… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 660 CITATIONS, ESTIMATED 54% COVERAGE

1,222 Citations

0200400'14'15'16'17'18'19
Citations per Year
Semantic Scholar estimates that this publication has 1,222 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
SHOWING 1-10 OF 20 REFERENCES

Robust and accurate shape model fitting using random forest regression voting

  • T. F. Cootes, M. Ionita, C. Lindner, P. Sauer
  • In ECCV,
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…