Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | 8th IEEE International Conference on Automatic Face and Gesture Recognition |
| Place of Publication | Los Alamitos |
| Publisher | IEEE Computer Society Press |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Print) | 978-1-4244-2154-1 |
| DOIs | |
| Publication status | Published - 19 Sep 2008 |
| Event | 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands Duration: 17 Sep 2008 → 19 Sep 2008 Conference number: 8 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society Press |
Conference
| Conference | 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 |
|---|---|
| Abbreviated title | FG |
| Country | Netherlands |
| City | Amsterdam |
| Period | 17/09/08 → 19/09/08 |
Keywords
- EWI-13514
- SCS-Safety
- Face Recognition
- IR-65006
- Illumination Normalization
- METIS-263690
Cite this
}
Model-based reconstruction for illumination variation in face images. / Boom, B.J.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.
8th IEEE International Conference on Automatic Face and Gesture Recognition. Los Alamitos : IEEE Computer Society Press, 2008. p. 1-6 10.1109/AFGR.2008.4813364.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Model-based reconstruction for illumination variation in face images
AU - Boom, B.J.
AU - Spreeuwers, Lieuwe Jan
AU - Veldhuis, Raymond N.J.
N1 - 10.1109/AFGR.2008.4813364
PY - 2008/9/19
Y1 - 2008/9/19
N2 - We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.
AB - We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.
KW - EWI-13514
KW - SCS-Safety
KW - Face Recognition
KW - IR-65006
KW - Illumination Normalization
KW - METIS-263690
U2 - 10.1109/AFGR.2008.4813364
DO - 10.1109/AFGR.2008.4813364
M3 - Conference contribution
SN - 978-1-4244-2154-1
SP - 1
EP - 6
BT - 8th IEEE International Conference on Automatic Face and Gesture Recognition
PB - IEEE Computer Society Press
CY - Los Alamitos
ER -