An efficient face detection in color images using eye mouth triangular approach

Human face detection is important for the aspects of face recognition, real time eye tracking and video surveillance. In this paper, we develop face detection method in color images. These methods rely on a two step process. First, we detect human skin regions based on YCbCr color method with lighting compensation technique and nonlinear color transformation. To avoid the effect of brightness included in the RGB color space, we propose to model the skin color in the chromatic and pure color space YCbCr, which separates luminance and chrominance components. After detecting face region within the image we construct eye and mouth maps in order to work on eye / mouth geometry and orientation of eye / mouth triangle. The result works well on wide range of facial variation in color, position, scale and orientation with photo collection including both indoor and outdoor environments.