3D Facial Landmark Detection under Large Yaw and Expression Variations

@article{Perakis20133DFL,
  title={3D Facial Landmark Detection under Large Yaw and Expression Variations},
  author={Panagiotis Perakis and Georgios Passalis and Theoharis Theoharis and Ioannis A. Kakadiaris},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={1552-1564}
}
A 3D landmark detection method for 3D facial scans is presented and thoroughly evaluated. The main contribution of the presented method is the automatic and pose-invariant detection of landmarks on 3D facial scans under large yaw variations (that often result in missing facial data), and its robustness against large facial expressions. Three-dimensional information is exploited by using 3D local shape descriptors to extract candidate landmark points. The shape descriptors include the shape… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 36 references

Spin-Images : A Representation for 3-D Surface Matching

Andrew Edie
1997
View 4 Excerpts
Highly Influenced

A Novel Genetic Algorithm for 3D Facial Landmark Localization

2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems • 2008
View 4 Excerpts
Highly Influenced

Automatic feature extraction for multiview 3D face recognition

7th International Conference on Automatic Face and Gesture Recognition (FGR06) • 2006
View 10 Excerpts
Highly Influenced

COSMOS - A Representation Scheme for 3D Free-Form Objects

IEEE Trans. Pattern Anal. Mach. Intell. • 1997
View 3 Excerpts
Highly Influenced

University of Notre Dame Biometrics Data Sets

UND
http:// www.nd.edu/~cvrl/CVRL/Data_Sets.html, 2012. • 2012
View 2 Excerpts

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