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A prototype system for unconstrained face verification based on statistical learning

Abstract : This paper discusses the video processing modules of a prototype face verification system. The main modules (face detection, registration, and verification) are all based on a feature selection plus classification pipeline that implements recently proposed statistical learning algorithms. All these modules are running on the prototype since January 2008, performing face verification in real time. Here we report quantitative results obtained both off-line, on a previously recorded dataset, and on-line, on the verification system.
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https://hal.inria.fr/inria-00326735
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 1:15:40 PM
Last modification on : Monday, October 6, 2008 - 9:34:49 AM
Long-term archiving on: : Thursday, June 3, 2010 - 8:23:16 PM

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Augusto Destrero, Alberto Lovato, Francesca Odone. A prototype system for unconstrained face verification based on statistical learning. Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Erik Learned-Miller and Andras Ferencz and Frédéric Jurie, Oct 2008, Marseille, France. ⟨inria-00326735⟩

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