Face detection in color images with complex background
Jiliu Zhou · Journal of Chengdu University of Technology · 2004
This paper presents a novel method to detect human face automatically in color image with (complex) background. Firstly, YCrCb and HSVcolor spaces are used to extract the skin color regions. In CrCb space, the detected skin pixels are clustered into several centers. Then, the opening morphological operation is used to remove the small objects in the background area. Some rules are employed to select the candidate face regions according to the shape and size information. Finally, the face regions can be located by using BP to detect the appearance of two eyes in the candidate face regions. Experimental results show that the proposed approach is efficient.