Abstract
Face recognition (FR) across illumination variations endeavors to alleviate the effect of illumination changes on human face, which remains a great challenge in reliable FR. Most prior studies focus on normalization of holistic lighting intensity while neglecting or simplifying the mechanism of image color formation. In contrast, we propose in this paper a novel approach for lighting robust FR through building the underlying reflectance model which characterizes the appearance of face surface. Specifically, the proposed illumination processing pipeline sheds light on interactions among face surface, lighting and camera, and enables generation of Chromaticity Intrinsic Image (CII) in a log space which is robust to illumination variations. Experimental results on CMU-PIE and ESRC face databases show the effectiveness of the proposed approach to deal with lighting variations in FR.
Original language | English (US) |
---|---|
Title of host publication | Proceedings of 2015 International Conference on Biometrics, ICB 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 185-192 |
Number of pages | 8 |
ISBN (Electronic) | 9781479978243 |
DOIs | |
State | Published - Jun 29 2015 |
Event | 8th IAPR International Conference on Biometrics, ICB 2015 - Phuket, Thailand Duration: May 19 2015 → May 22 2015 |
Publication series
Name | Proceedings of 2015 International Conference on Biometrics, ICB 2015 |
---|
Other
Other | 8th IAPR International Conference on Biometrics, ICB 2015 |
---|---|
Country/Territory | Thailand |
City | Phuket |
Period | 05/19/15 → 05/22/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
ASJC Scopus subject areas
- Biotechnology
- Computer Science Applications
- Biomedical Engineering
- Safety, Risk, Reliability and Quality