A Robust Facial Feature Points Location Algorithm under Variable Illumination

Author

Zhuang, Liansheng ; Wang, Yong ; Li, Bin ; Zhuang, Zhenquan ; Zhang, Hao

Author_Institution

MOE-Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei

fYear

2006

fDate

25-28 June 2006

Firstpage

1227

Lastpage

1231

Abstract

In this paper, a novel algorithm is proposed to locate facial feature points robustly and accurately. It uses the coarse-to-fine strategy to search feature points. Firstly, it used phase congruency to model the feature points locally and locate facial feature points roughly. Secondly, it used reflectance, which is intrinsic texture of object, to drive the search of fine location. Experiments showed that our algorithm could locate the feature points more accurately and robustly, and work efficiently even under a wide range of illumination and poor initialization

Keywords

face recognition; feature extraction; image resolution; coarse-to-fine strategy; phase congruency; robust facial feature points location algorithm; variable illumination; Active shape model; Change detection algorithms; Face recognition; Facial features; Laboratories; Lighting; Multimedia computing; Reflectivity; Robustness; Shadow mapping; Active shape model; Facial feature point detection; Phase congruency; Reflectance;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Conference_Location

Luoyang, Henan

Print_ISBN

1-4244-0465-7

Electronic_ISBN

1-4244-0466-5

Type

conf

DOI

10.1109/ICMA.2006.257801

Filename

4026261