Title :
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
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;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-3994-2
DOI :
10.1109/CVPRW.2009.5204149
