2009 | OriginalPaper | Buchkapitel
Face Video Competition
verfasst von : Norman Poh, Chi Ho Chan, Josef Kittler, Sébastien Marcel, Christopher Mc Cool, Enrique Argones Rúa, José Luis Alba Castro, Mauricio Villegas, Roberto Paredes, Vitomir Štruc, Nikola Pavešić, Albert Ali Salah, Hui Fang, Nicholas Costen
Erschienen in: Advances in Biometrics
Verlag: Springer Berlin Heidelberg
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Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents the first known benchmarking effort of person identity verification using facial video data. The evaluation involves 18 systems submitted by seven academic institutes.