|
Published Articles >> Table of Contents >> Abstract
IEEE International Workshop on Analysis and Modeling of Faces and Gestures
p. 157
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
Shiguang Shan, ICT-ISVISION JDL
Wen Gao, ICT-ISVISION JDL
Bo Cao, ICT-ISVISION JDL
Debin Zhao, ICT-ISVISION JDL
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AMFG.2003.1240838
Send link to a friend
| Abstract |
|
Evaluations of the state-of-the-art of both academic face
recognition algorithms and commercial systems have
shown that recognition performance of most current
technologies degrades due to the variations of
illumination. This paper investigates several illumination
normalization methods and proposes some novel
solutions. The main contribution of this paper includes: (1)
A Gamma Intensity Correction (GIC) method is proposed
to normalize the overall image intensity at the given
illumination level; (2) A Region-based strategy combining
GIC and the Histogram Equalization (HE) is proposed to
further eliminate the side-lighting effect; (3) A Quotient
Illumination Relighting (QIR) method is presented to
synthesize images under a pre-defined normal lighting
condition from the provided face images captured under
non-normal lighting condition. These methods are
evaluated and compared on the Yale illumination face
database B and Harvard illumination face database.
Considerable improvements are observed. Some
conclusions are given at last.
|
 Additional Information
|
Citation:
Shiguang Shan, Wen Gao, Bo Cao, Debin Zhao,
"Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions,"
amfg,
p. 157,
IEEE International Workshop on Analysis and Modeling of Faces and Gestures,
2003
|
|
