Non-rigid 3D face shape reconstruction using a genetic algorithm

Author

Park, Jong-Min ; Choi, Hyun-Chul ; Oh, Se-young

Author_Institution

Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

6

Abstract

This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-rank constraints. Then the method finds the optimal coefficients for linear combinations of 3D shape bases to represent non-rigid 3D shapes using a genetic algorithm, and refines the 3D shape bases and the projection matrices using gradient descent techniques. The method reconstructed correct non-rigid 3D shapes in the presence of noise. The results can be used in many areas including animation, motion capture and non-rigid 3D object tracking.

Keywords

computer animation; face recognition; genetic algorithms; gradient methods; image motion analysis; image reconstruction; matrix algebra; object detection; shape recognition; solid modelling; 3D shape bases; animation; genetic algorithm; gradient descent techniques; linear combinations; low-rank constraints; motion capture; noisy 2D shapes; nonrigid 3D face shape reconstruction; nonrigid 3D object tracking; optimal coefficients; projection matrices; Face; Image reconstruction; Noise; Pixel; Shape; Solid modeling; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2010 IEEE Congress on

Conference_Location

Barcelona

Print_ISBN

978-1-4244-6909-3

Type

conf

DOI

10.1109/CEC.2010.5586177

Filename

5586177