1 January 2008 Pose-corrected face processing on video sequences for webcam-based remote biometric authentication
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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.
© (2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
José Luis Alba Castro, José Luis Alba Castro, Daniel Gonzalez-Jimenez, Daniel Gonzalez-Jimenez, Enrique Argones-Rua, Enrique Argones-Rua, Elisardo Gonzalez-Agulla, Elisardo Gonzalez-Agulla, Enrique Otero Muras, Enrique Otero Muras, Carmen Garcia-Mateo, Carmen Garcia-Mateo, } "Pose-corrected face processing on video sequences for webcam-based remote biometric authentication," Journal of Electronic Imaging 17(1), 011004 (1 January 2008). https://doi.org/10.1117/1.2891038 . Submission:

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