Face detection in images is a computer technology that examines
the
problem of detecting the locations in digital images where
faces are
present. In the last two decades a great research effort was
made, and
more than a hundred strategies have been studied and reported.
The most
significant representatives are described in this work. All of
them
focus on reaching high reliability, efficiency and speed. A
robust face
detection system should detect all faces in a single image
independently
of face position and scale, in-plane or out-of-plane rotations,
facial
shape, color (ethnic group) and expression. If we take all the
preceding
aspects into account, AdaBoost-based detection system seems to
be the
most promising solution. Thus, its implementation is suggested
in this
work too.