Real-Time Face Recognition Using Feature Combination

We present an experimental setup for real-time face identification in a cluttered scene. Color images of people are recorded with a static camera. A rough face detection is performed, and the resulting images are stored in a database. At a future time, a person standing in front of the camera (although against a different background) is identified, if their image was present in the database. In our experiments, the main variation of the faces is wide pose variation (out-of-image plane rotation of the head); some scale variation was also present. For real-time ability, we combine simple image features through a voting procedure for performing face recognition.

• Type: Conference
• Year: 1998
• Where: FGR
• Authors: Chahab Nastar, Matthias Mitschke
• Keywords: Biometrics, FGR 1998, Image, Real-time Face Identification, Rough Face Detection