A fuzzy-theory-based face detector

This paper describes a fuzzy theory based face detection system. We use a perceptually uniform chromatic system to represent color information for increasing the robustness of our system. We build two models that describe the skin color and hair color, and use them to estimate the skin color likeness and the hair color likeness. We treat the appearance of faces in images as a combination of the skin part and the hair part, and model it with several two-dimensional patterns. Then we detect the “face like” regions by finding out patterns that are similar to one of the face models from input images using the fuzzy pattern matching method. Extensive experiments show the effectiveness of our method in the face detection from images with many people and complex background