A Novel Facial Localization for Three-dimensional Face Using Multi-level Partition of Unity Implicits

Author

Hu, Yuan ; Yan, Jingqi ; Li, Wei ; Shi, Pengfei

Author_Institution

Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

682

Lastpage

685

Abstract

This paper presents a novel facial localization method for 3D face in the presence of facial pose and expression variation. An idea of using Multi-level Partition of Unity (MPU) Implicits in a hierarchical way is proposed for reconstruction of face surface. Based on the analysis of curvature features, nose and eyeholes regions can be detected on lower level reconstructed face surface uniquely. Experimental results show that this method is invariant to pose, holes, noise and expression. The overall performance of 99.18% is achieved.

Keywords

face recognition; image reconstruction; pose estimation; 3D face; curvature feature analysis; eyeholes region detection; face surface reconstruction; facial expression variation; facial localization; facial pose; multilevel partition of unity implicits; nose region detection; Approximation methods; Face; Nose; Shape; Surface fitting; Surface reconstruction; Three dimensional displays; MPU; Multi-level Partition of Unity; curvature analysis; facial localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.172

Filename

5595815