This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
3D Facial Landmark Detection under Large Yaw and Expression Variations
July 2013 (vol. 35 no. 7)
pp. 1552-1564
P. Perakis, Dept. of Inf. & Telecommun., Univ. of Athens, Ilisia, Greece
G. Passalis, Dept. of Inf. & Telecommun., Univ. of Athens, Ilisia, Greece
T. Theoharis, Dept. of Inf. & Telecommun., Univ. of Athens, Ilisia, Greece
I. A. Kakadiaris, Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
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 index, a continuous map of principal curvature values of a 3D object's surface, and spin images, local descriptors of the object's 3D point distribution. The candidate landmarks are identified and labeled by matching them with a Facial Landmark Model (FLM) of facial anatomical landmarks. The presented method is extensively evaluated against a variety of 3D facial databases and achieves state-of-the-art accuracy (4.5-6.3 mm mean landmark localization error), considerably outperforming previous methods, even when tested with the most challenging data.
Index Terms:
Shape,Nose,Face,Indexes,Feature extraction,Eigenvalues and eigenfunctions,spin images,Face models,landmark detection,shape index
Citation:
P. Perakis, G. Passalis, T. Theoharis, I. A. Kakadiaris, "3D Facial Landmark Detection under Large Yaw and Expression Variations," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 7, pp. 1552-1564, July 2013, doi:10.1109/TPAMI.2012.247
Usage of this product signifies your acceptance of the Terms of Use.