Face Quality Assessment System in Video Sequences

When a person passes by a surveillance camera a sequence of image is obtained. Before performing any analysis on the face of a person, the face first needs to be detected and secondary the quality of the different face images needs to be evaluated. In this paper we present a system based on four simple features including out-of-plan rotation, sharpness, brightness and resolution, to assess the face quality in a video sequence. These features are combined using both a local scoring system and weights. The system is evaluated on two databases and the results show a general agreement between the system output and quality assessment by a human.

• Type: Conference
• Year: 2008
• Where: BIOID
• Authors: Kamal Nasrollahi, Thomas B. Moeslund
• Keywords: BIOID 2008, Biometrics, Face Quality, Out-of-plan Rotation, Surveillance Camera