Face Lacation In Color Image Based On K-L Transform And Template Matching

Automatic human face recognition is attractive in pattern recognition and image procession. The human face is a complex pattern. It is very diffcult that locate face in complex background. It is even harder than face recognition. Many researches have been done upon face recognition, more effort need to be directed in face location problem. In this paper , first , a survey of human face location and recognition is given. Then, it introduces the developments of the human location and recognition. Afterword, it discussed the basis theory and method.In chapter IV , a new method of eyes location is provided. It detects the edg of human face image with wavelet transform in the first. Then it begins to statistic the gray value of the row and list. So we can get approximate position. At last we can get accurate position with template maching.At last, a method of location face in the static image is provided without any limitation upon images , or any condition about number, size, position and orientation of faces. A new color space is drived from RGB color format of the skin colors and other background colors with K~L transforms. The distance between the skin color and the background colors is increased in this color space. So we can segment the skin regions from one image. Then we match with templates that was difined by myself. At last we can get the position of the human face. The experiment result shows that this method finishes the human faces location.