@article{ac7e255542bc4b1fbe48ad312df87276,
title = "Profile-based 3D-aided face recognition",
abstract = "This paper presents a framework for automatic face recognition based on a silhouetted face profile (URxD-PV). Previous research has demonstrated the high discriminative potential of this biometric. Compared to traditional approaches in profile-based recognition, our approach is not limited to only standard side-view faces. We propose to explore the feature space of profiles under various rotations with the aid of a 3D face model. In the enrollment mode, 3D data of subjects are acquired and used to create profiles under different rotations. The features extracted from these profiles are used to train a classifier. In the identification mode, the profile is extracted from the side-view image and its metadata is matched with the gallery metadata. We validate the accuracy of URxD-PV using data from publicly available databases.",
keywords = "3D, Facial data, Multi-frame recognition, Multi-modal vision, Profile-based face recognition",
author = "Boris Efraty and Emil Bilgazyev and Shishir Shah and Kakadiaris, {Ioannis A.}",
note = "Funding Information: Ioannis A. Kakadiaris received the Ptychion (B.Sc.) degree in Physics from the University of Athens, Greece, in 1989, the M.Sc. degree in Computer Science from Northeastern University, Boston, Massachusetts, in 1991, and the Ph.D. degree in Computer Science from the University of Pennsylvania, Philadelphia, in 1997. Dr. Kakadiaris (a Hugh Roy and Lillie Cranz Cullen University Professor of Computer Science, Electrical & Computer Engineering, and Biomedical Engineering) joined the University of Houston (UH) in August 1997 after completing a postdoctoral fellowship at the University of Pennsylvania. He is the founder and director of the UH Computational Biomedicine Laboratory and director of the Division of Bio-Imaging and Bio-Computation at the UH Institute for Digital Informatics and Analysis. Professor Kakadiaris research interests include biomedical image analysis, biometrics, computer vision, and pattern recognition. He is the recipient of the year 2000 NSF Early Career Development Award, UH Computer Science Research Excellence Award, UH Enron Teaching Excellence Award, James Muller VP Young Investigator Prize, and the Schlumberger Technical Foundation Award. Funding Information: This work was funded in part by the Central Intelligence Agency under the DISA ENCORE contract DCA200-02-D-5014 with Unisys Corporation serving as the primary on behalf of the Government. Special thanks to Fahd Zahed for manually annotating the profiles used in our experiments. ",
year = "2012",
month = jan,
doi = "10.1016/j.patcog.2011.07.010",
language = "English (US)",
volume = "45",
pages = "43--53",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Limited",
number = "1",
}