Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2623

Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds

Authors Fan, W.
Yeung, D.-Y.
Issue Date 2006
Source FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition , v. 2006, 2006, p. 177-182
Summary An unsupervised nonpammetric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face recognition. Motivated by a nonlinear dimensionality reduction algorithm called Isomap, we use local neighborhood information to approximate the geodesic distances between face images. A hierarchical agglomerative clustering (HAC) algorithm is then applied to group similar faces together based on the estimated geodesic distances which approximate their locations on the appearance manifold. We define the exemplars as cluster centers for template matching at the subsequent testing stage. The final recognition is the outcome of a majority voting scheme which combines the decisions from all the individual frames in the test set. Experimental results on a 40-subject video database demonstrate the effectiveness and flexibility of our proposed method. © 2006 IEEE.
Subjects
ISBN 0-7695-2503-2
Rights © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language English
Format Conference paper
Access View full-text via DOI
View full-text via Scopus
View full-text via Web of Science
Find@HKUST
Files in this item:
File Description Size Format
yeung.fg2006.pdf 499550 B Adobe PDF