FACE RECOGNITION USING MARGIN-ENHANCED CLASSIFIER IN GRAPH-BASED SPACE

Ju-Chin Chen, Shang-You Shi, Jenn-Jier James Lien

2010

Abstract

In this paper, we develop a face recognition system with the derived subspace learning method, i.e. classifier-concerning subspace, where not only the discriminant structure of data can be preserved but also the classification ability can be explicitly considered by introducing the Mahalanobis distance metric in the subspace. Most of graph-based subspace learning methods find a subspace with the preservation of certain geometric and discriminant structure of data but not explicitly include the classification information from the classifier. Via the distance metric, which is constrained by k-NN classification rule, the pairwise distance relation can be locally adjusted and thus the projected data in the classifier-concerning subspace are more suitable for k-NN classifier. In addition, an iterative procedure is derived to get rid of the overfitting problem. Experimental results show that the proposed system can yield the promising recognition results under various lighting, pose and expression conditions.

Paper Citation

in Harvard Style

Chen J., Shi S. and James Lien J. (2010). FACE RECOGNITION USING MARGIN-ENHANCED CLASSIFIER IN GRAPH-BASED SPACE . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 382-388. DOI: 10.5220/0002831903820388

in Bibtex Style

@conference{visapp10,
author={Ju-Chin Chen and Shang-You Shi and Jenn-Jier James Lien},
title={FACE RECOGNITION USING MARGIN-ENHANCED CLASSIFIER IN GRAPH-BASED SPACE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={382-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002831903820388},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FACE RECOGNITION USING MARGIN-ENHANCED CLASSIFIER IN GRAPH-BASED SPACE
SN - 978-989-674-029-0
AU - Chen J.
AU - Shi S.
AU - James Lien J.
PY - 2010
SP - 382
EP - 388
DO - 10.5220/0002831903820388