Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance

Authors:
Yen-Wei Chen;Takayuki Fukui;Xu Qiao;Takanori Igarashi;Keisuke Nakao;Akio Kashimoto
Affiliations:
Graduate School of Science and Engineering, Ritsumeikan University, Japan;Graduate School of Science and Engineering, Ritsumeikan University, Japan;Graduate School of Science and Engineering, Ritsumeikan University, Japan;Beauty Cosmetic Research Lab, Kao Corporation, Japan;Beauty Cosmetic Research Lab, Kao Corporation, Japan;Beauty Cosmetic Research Lab, Kao Corporation, Japan
Venue:
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2008

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Abstract

We constructed a multi-angle view, illumination and cosmetic facial image database (MaVIC) for quantitative characterization of facial appearance. The facial images in the database are captured from various angles of view and of illumination with a multi-angle image capturing system (MICS). In MaVIC, there are 170 Japanese female's natural facial images and 250 Japanese female's cosmetic facial images. Each subject was photographed in 13 different view-directions under 14 illuminations. Quantitative analysis has been done for the images in MaVIC by the use of principal component analysis (PCA).