The HFB Face Database for Heterogeneous Face Biometrics Research
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.
Cite
Text
Li et al. "The HFB Face Database for Heterogeneous Face Biometrics Research." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204149Markdown
[Li et al. "The HFB Face Database for Heterogeneous Face Biometrics Research." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/li2009cvprw-hfb/) doi:10.1109/CVPRW.2009.5204149BibTeX
@inproceedings{li2009cvprw-hfb,
title = {{The HFB Face Database for Heterogeneous Face Biometrics Research}},
author = {Li, Stan Z. and Lei, Zhen and Ao, Meng},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2009},
pages = {1-8},
doi = {10.1109/CVPRW.2009.5204149},
url = {https://mlanthology.org/cvprw/2009/li2009cvprw-hfb/}
}