The HFB Face Database for Heterogeneous Face Biometrics research

Author

Li, Stan Z. ; Zhen Lei ; Meng Ao

Author_Institution

Center for Biometrics & Security Res., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

20-25 June 2009

Firstpage

1

Lastpage

8

Abstract

A face database, composed of visual (VIS), near infrared (NIR) and three-dimensional (3D) face images, is collected. Called the HFB face database, it is released now to promote research and development of heterogeneous face biometrics (HFB). This release of version 1 contains a total of 992 images from 100 subjects; there are 4 VIS, 4 NIR, and 1 or 2 3D face images per subject. In this paper, we describe the apparatuses, environments and procedure of the data collection and present baseline performances of the standard PCA and LDA methods on the database.

Keywords

biometrics (access control); image matching; principal component analysis; visual databases; 3D face images; HFB face database; data collection; face images matching; face images processing; heterogeneous face biometric; linear discriminant analysis method; principal component analysis; three-dimensional face images; Biometrics; Face recognition; Image databases; Image matching; Infrared imaging; Infrared spectra; Linear discriminant analysis; Principal component analysis; Research and development; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on

Conference_Location

Miami, FL

ISSN

2160-7508

Print_ISBN

978-1-4244-3994-2

Type

conf

DOI

10.1109/CVPRW.2009.5204149

Filename

5204149