JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Facial Feature Extraction with Its Applications
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Facial Feature Extraction with Its Applications
Lee, Minkyu; Lee, Sangyoun;
  PDF(new window)
 Abstract
Purpose In the many face-related application such as head pose estimation, 3D face modeling, facial appearance manipulation, the robust and fast facial feature extraction is necessary. We present the facial feature extraction method based on shape regression and feature selection for real-time facial feature extraction. Materials and Methods The facial features are initialized by statistical shape model and then the shape of facial features are deformed iteratively according to the texture pattern which is selected on the feature pool. Results We obtain fast and robust facial feature extraction result with error less than 4% and processing time less than 12 ms. The alignment error is measured by average of ratio of pixel difference to inter-ocular distance. Conclusion The accuracy and processing time of the method is enough to apply facial feature based application and can be used on the face beautification or 3D face modeling.
 Keywords
Facial Feature Extraction;Shape Regression;Feature Selection;Statistical Face Model;
 Language
English
 Cited by
 References
1.
Blanz V, Vetter T. A morphable model for the synthesis of 3D faces. In Proceedings of SIGGRAPH, 1999:187-194

2.
Han H, Jain AK. 3D face texture modeling from uncalibrated frontal and profile images. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012

3.
Leyvand T, Cohen-Or D, Dror D, Lischinski D. Data-driven enhancement of facial attractiveness. ACM Transactions on Graphics (TOG) 2008:38

4.
Wang Q, Wang Y, Wang Z. Online Smart Face Morphing Engine with Prior Constraints and Local Geometry Preservation. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. Springer International Publishing 2015:130-140

5.
Kim WW, Hwang JK, Park SH, Lee SY. Automatic head pose estimation from a single camera using projective geometry. IEEE conference on Information, Communications and Signal Processing (ICICS), 2011

6.
Belhumeur PN, Jacobs DW, Krieman DJ, and Kumar N. Localizing parts of faces using a consensus of exemplars. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

7.
Uricar M, Franc V, and Hlavac V. Detector of facial landmarks learned by the structured output SVM. VISAPP 2012:547-556

8.
Zhu X, Ramanan D. Face detection, pose estimation, and landmark localization in the wild. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

9.
Xiong X, De la Torre F. Supervised descent method and its applications to face alignment. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

10.
Cao X, Wei Y, Wen F, Sun J. Face alignment by explicit shape regression. International Journal of Computer Vision 2014:177-190