Associative-memory-based human face detection

In this paper, we explore the possibility of applying associative memories for locating frontal views of human faces in complex scenes. An appealing p roperty of the associative-memory-based face detection system is that learn ing of the associative memory may be achieved by using a simple Hebbian lea rning rule. In addition, a simple heuristic rule is used to quickly filter a certain amount of nonface images at the very beginning of the whole detec tion procedure. By using the rule, we won't waste unnecessary computational resources on those nonface images. A database consisting of 74 images was used to test the performance of our associative-memory-based human face det ection system.