The task of detecting faces is a precursor
intended for shaping the information that the face provides. A robust
way to locate the faces in images, insensitive to scale, pose, style,
facial expression and lighting condition is contributed as a two phase
process in this study. The first phase aspects a human face against a
complex background by performing a skin color analysis of the image, as
it is most liable that color noises have low probability on being flesh
color. During the second phase, random measurements are generated to populate
the entrant face region according to the face anthropometrics using the
eye location determined from the YCbCr color space.
The combination of holistic and configural approach implemented in this
study has proven to be a very speedy, effortless and exceedingly competent
scheme for locating complex stimuli such as face.