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 use simple image features and a voting procedure for performing face recognition.