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Journal of Electronic Imaging

Pose-corrected face processing on video sequences for webcam-based remote biometric authentication
Author(s): José Luis Alba Castro; Daniel Gonzalez-Jimenez; Enrique Argones-Rua; Elisardo Gonzalez-Agulla; Enrique Otero Muras; Carmen Garcia-Mateo
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Paper Abstract

We describe a framework aimed at performing facebased biometric user authentication for Web resources through client–server secured sessions. A novel front end for face video sequences processing is developed in which face detection and shot selection are performed at the client side while statistical multishot pose-corrected face verification is performed at the server side. We explain all the image processing steps, from acquisition through decision, paying special attention to a PDM-based pose correction subsystem and a GMM-based sequence decision test. The pose correction relies on projecting a face-shape mesh onto the set of PDM eigenvectors and back-projecting it after changing the coefficients associated with pose variation. The aligned texture features compose the observation vectors ready to be plugged into a GMMbased likelihood ratio for statistical decision. The pose correction strategy has been previously validated over the XM2VTS and CMUPIE data sets, the GMM-based video sequence decision test has been compared to other video-based systems using the BANCA data set, and the complete proposed system has been tested on a new video data set from the European Network of Excellence BIOSECURE.

Paper Details

Date Published: 1 January 2008
PDF: 12 pages
J. Electron. Imaging. 17(1) 011004 doi: 10.1117/1.2891038
Published in: Journal of Electronic Imaging Volume 17, Issue 1
Show Author Affiliations
José Luis Alba Castro, Univ. de Vigo (Spain)
Daniel Gonzalez-Jimenez, Univ. de Vigo (Spain)
Enrique Argones-Rua, Univ. de Vigo (Spain)
Elisardo Gonzalez-Agulla, Univ. de Vigo (Spain)
Enrique Otero Muras, Univ. de Vigo (Spain)
Carmen Garcia-Mateo, Univ. de Vigo (Spain)

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