Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary

Ming Du and Rama Chellappa

In Proceedings British Machine Vision Conference 2014
http://dx.doi.org/10.5244/C.28.129

Abstract

Face recognition in unconstrained videos is challenging due to large variations in pose, illumination, expression etc. In this paper, we address the problem from two different aspects: To handle pose variations, we learn a Structural-SVM based detector which can simultaneously localize face fiducial points and estimate face pose. By adopting a different optimization criterion from existing algorithms, we are able to improve localization accuracy. We model face variations of other kinds using intra-personal/extra-personal dictionaries. The proposed framework is advantageous in terms of both accuracy and scalability. We demonstrate through experiments that our algorithm outperforms state-of-the-art approaches on challenging public databases.

Session

Poster Session

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Paper (PDF, 13 pages, 549K)

Bibtex File

Citation

Ming Du, and Rama Chellappa. Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.

BibTex

@inproceedings{BMVC.28.129
	title = {Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary},
	author = {Du, Ming and Chellappa, Rama},
	year = {2014},
	booktitle = {Proceedings of the British Machine Vision Conference},
	publisher = {BMVA Press},
	editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
	doi = { http://dx.doi.org/10.5244/C.28.129 }
}