An Evaluation of Video-to-Video Face Verification

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 an evaluation of person identity verification using facial video data, organized in conjunction with the Int'l Conf. on Biometrics (ICB) 2009. It involves 18 systems submitted by seven academic institutes. These systems provide for a diverse set of assumptions, including feature representation and pre-processing variations, allowing us to assess the effect of adverse conditions, usage of quality information, query selection and template construction for video-to-video face authentication.

• Type: Journal
• Year: 2010
• Where: TIFS
• Authors: Norman Poh, Chi-Ho Chan, Josef Kittler, Sébastien Marcel, Chris McCool, Enrique Argones-Rúa, José Luis Alba-Castro, Mauricio Villegas, Roberto Paredes, Vitomir Struc, Nikola Pavesic, Albert Ali Salah, Hui Fang, Nicholas Costen
• Keywords: Education, Facial Video, Facial Video Data, Facial Video Recognition, TIFS 2010