A Statistical Model Combining Shape and Spherical Harmonics for Face Reconstruction and Recognition

Author

Rara, H. ; Elhabian, S. ; Starr, T. ; Farag, A.

Author_Institution

CVIP Lab., Univ. of Louisville, Louisville, KY

fYear

2008

fDate

18-20 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

We describe a face reconstruction framework based on a statistical model that combines shape (2D and height maps), appearance (albedo), and spherical harmonics projection (SHP) information. The framework takes a 2D frontal face image under arbitrary illumination as input and outputs the estimated 3D shape and appearance. Face identification is performed using the shape and albedo coefficients of the fitting process, as well as the actual shape/texture reconstructions. Results indicate decent face reconstructions and a perfect recognition rate for the frontal images of the Extended Yale Database B.

Keywords

face recognition; image reconstruction; medical image processing; shape recognition; 3D shape; Extended Yale Database B; face identification; face recognition; face reconstruction; spherical harmonics; statistical model; Active appearance model; Face recognition; Image databases; Image recognition; Image reconstruction; Lighting; Probes; Shape; Spatial databases; System testing; Face reconstruction; illumination; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International

Conference_Location

Cairo

Print_ISBN

978-1-4244-2694-2

Electronic_ISBN

978-1-4244-2695-9

Type

conf

DOI

10.1109/CIBEC.2008.4786037

Filename

4786037