Face Detection Method Based on Color Barycenter Hexagon Model
Qieshi Zhang, Jun Zhang, Sei‐ichiro Kamata · 2008
Abstract—Human face detection plays an important role in many application areas such as video surveillance, human computer interface, face recognition and face image database management. In the human face detection applications, face region usually form an inconsequential part of the images. Consequently, preliminary segmentation of images into regions that contain "non-face " objects and regions that may contain "face " candidates can greatly accelerate the process of human face detection. Most existing face detection methods [1]-[4] process the image under some assumptions, which make them applicable only under some specifically conditions. Existing techniques for face detection in color images are plagued by poor performance in the presence of variation in illumination, scale variation, variation in skin light, complex backgrounds etc. In this research work, we have made a color