Facial Caricaturing System Based on Multi-view Active Shape Models

Author

Kamimura, Takuya ; Chen, Yen-wei

Author_Institution

Grad. Sch. of Sci. & Eng., Rirsumeikan Univ., Kusatsu, Japan

Volume

6

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

17

Lastpage

21

Abstract

In this paper, we proposed an automatic facial caricaturing system based on multi-view Active Shape Model (ASM). The ASM is used for automatic extraction of feature points. But it is difficult to apply the conventional ASM to facial images with pose variations. We developed a multi-view ASM bank, which includes various ASMs corresponding to each pose. The multi-view ASMs can extract feature points correctly not only for the fontal facial images but also for pose variations. Moreover, we developed an automatic facial caricaturing system. This system consists two parts: automatic extraction of feature points based on multi-view ASMs, and B-spline based caricaturing.

Keywords

face recognition; feature extraction; facial caricaturing system; facial images; feature points extraction; multiview active shape models; pose variations; Active appearance model; Active shape model; Eigenvalues and eigenfunctions; Eyebrows; Face; Feature extraction; Humans; Principal component analysis; Spline; Visual effects; Active Shape Model; Principal Component Analysis; face recognition; pose robust;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.656

Filename

5366587