Detecting Human Faces in Color Images

A method is introduced that detects human faces in color images by rst separating skin regions from nonskin regions and then locating faces within skin regions. A chroma chart is prepared via a training process that shows likelihoods of di erent colors representing the skin. Using the chroma chart, a color image is transformed into a gray scale image, with the gray value at a pixel showing the likelihood of the pixel representing the skin. By segmenting the gray scale image, skin regions are separated from nonskin regions. Then, using the luminance component of the color image and by template matching, faces are located within skin regions.

• Type: Conference
• Year: 1998
• Where: ICIP
• Authors: Ming-Hsuan Yang, Narendra Ahuja
• Keywords: Gray Scale Image, ICIP 1998, Image Processing, Nonskin Regions, Separating Skin Regions