One of the most reliable face detectors in digital
images has been deveopled by Rowley, Baluja and Kanade. It is described
in the technical report CMU-CS-95-158R (see Face Detector Demo at the
Carnegie Mellon University). Their system recognizes about 90% of all
frontal faces while detecting only sporadic non-faces as faces. We have
recreated their proposed neural network-based frontal face
classification system and use it as a basis for our frontal face
detector in video sequences. See how well it works: