Genetic Algorithm Based 3D Face Reconstruction

Author

Wang, Chengzhang ; Yin, Baocai ; Shi, Qin ; Sun, Yanfeng

Author_Institution

Multimedia & Intelligent Software Technol. Beijing, Beijing Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3643

Lastpage

3647

Abstract

A novel model matching method based on genetic algorithm is presented in this paper for 3D face reconstruction. Having constructed the morphable model, genetic algorithm is proposed to tackle model matching problem. Multi-lights illumination model is developed to fit for more complex conditions. New model matching method based on genetic algorithm is independent from initial values and more robust than stochastic gradient descent method. Crossover and mutation probability are regulated during optimization process to improve precision and convergence speed of the algorithm. Multi-lights illumination model improves the stability of 3D face reconstruction and ability to evaluate illumination conditions of input facial images. Experimental results show the proposed method has good performance on 3D face reconstruction

Keywords

genetic algorithms; image matching; image morphing; image reconstruction; 3D face reconstruction; convergence speed; crossover probability; facial image; genetic algorithm; illumination condition evaluation; model matching; morphable model; multilights illumination model; mutation probability; optimization process; precision improvement; Deformable models; Educational technology; Face; Facial animation; Genetic algorithms; Genetic mutations; Image reconstruction; Laboratories; Lighting; Stochastic processes; 3D face reconstruction; genetic algorithm; illumination model; model matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713049

Filename

1713049