Special Section on Biometrics: Advances in Security, Usability, and Interoperability

Pose-corrected face processing on video sequences for webcam-based remote biometric authentication

[+] Author Affiliations
José Luis Alba-Castro

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

Daniel González-Jiménez

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

Enrique Argones-Rúa

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

Elisardo González-Agulla

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

Enrique Otero-Muras

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

Carmen García-Mateo

Universidad de Vigo, ETSI Telecomunicación, Departamento de Teoría de la Señal y Comunicaciones, 36310 Vigo, Spain

J. Electron. Imaging. 17(1), 011004 (March 13, 2008). doi:10.1117/1.2891038
History: Received July 03, 2007; Revised October 18, 2007; Accepted November 15, 2007; Published March 13, 2008
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We describe a framework aimed at performing face-based 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 GMM-based likelihood ratio for statistical decision. The pose correction strategy has been previously validated over the XM2VTS and CMU-PIE 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.

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© 2008 SPIE and IS&T

Citation

José Luis Alba-Castro ; Daniel González-Jiménez ; Enrique Argones-Rúa ; Elisardo González-Agulla ; Enrique Otero-Muras, et al.
"Pose-corrected face processing on video sequences for webcam-based remote biometric authentication", J. Electron. Imaging. 17(1), 011004 (March 13, 2008). ; http://dx.doi.org/10.1117/1.2891038


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