Illumination-Invariant Face Representation via Normalized Structural Information
Summary :
A novel method for illumination-invariant face representation is presented based on the orthogonal decomposition of the local image structure. One important advantage of the proposed method is that image gradients and corresponding intensity values are simultaneously used with our decomposition procedure to preserve the original texture while yielding the illumination-invariant feature space. Experimental results demonstrate that the proposed method is effective for face recognition and verification even with diverse lighting conditions.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.10 pp.2661-2663
- Publication Date
- 2016/10/01
- Publicized
- 2016/06/21
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8097
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Wonjun KIM
Konkuk University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Wonjun KIM, "Illumination-Invariant Face Representation via Normalized Structural Information" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 10, pp. 2661-2663, October 2016, doi: 10.1587/transinf.2016EDL8097.
Abstract: A novel method for illumination-invariant face representation is presented based on the orthogonal decomposition of the local image structure. One important advantage of the proposed method is that image gradients and corresponding intensity values are simultaneously used with our decomposition procedure to preserve the original texture while yielding the illumination-invariant feature space. Experimental results demonstrate that the proposed method is effective for face recognition and verification even with diverse lighting conditions.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8097/_p
Copy
@ARTICLE{e99-d_10_2661,
author={Wonjun KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Illumination-Invariant Face Representation via Normalized Structural Information},
year={2016},
volume={E99-D},
number={10},
pages={2661-2663},
abstract={A novel method for illumination-invariant face representation is presented based on the orthogonal decomposition of the local image structure. One important advantage of the proposed method is that image gradients and corresponding intensity values are simultaneously used with our decomposition procedure to preserve the original texture while yielding the illumination-invariant feature space. Experimental results demonstrate that the proposed method is effective for face recognition and verification even with diverse lighting conditions.},
keywords={},
doi={10.1587/transinf.2016EDL8097},
ISSN={1745-1361},
month={October},}
Copy
TY - JOUR
TI - Illumination-Invariant Face Representation via Normalized Structural Information
T2 - IEICE TRANSACTIONS on Information
SP - 2661
EP - 2663
AU - Wonjun KIM
PY - 2016
DO - 10.1587/transinf.2016EDL8097
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2016
AB - A novel method for illumination-invariant face representation is presented based on the orthogonal decomposition of the local image structure. One important advantage of the proposed method is that image gradients and corresponding intensity values are simultaneously used with our decomposition procedure to preserve the original texture while yielding the illumination-invariant feature space. Experimental results demonstrate that the proposed method is effective for face recognition and verification even with diverse lighting conditions.
ER -
English
