A coupled statistical model can be used to recover facial shape from brightness
images of faces. This project is a software tool that helps a user to recover the face from
the given input image. The input image may be either dark or bright image, where the
image is not so clear to identify. This tool is mainly aimed for the users, who are in need
to identify the face hidden in the input image, if present.
We achieve this by capturing variations in intensity and the surface shape
representations using a coupled statistical model. The model is constructed by performing
principal analysis on sets of parameters describing the contents of the intensity images
and the facial shape representations. By fitting the coupled model to intensity data, facial
shape is implicitly recovered from the shape parameters.
The Face Detection and shape recovery system provides a solution that can
automatically detect faces and shape position and recover the hidden image from the
given input image. The system takes photographic images as input. The output consists
of an array of rectangles, which corresponds to the location, and scale of faces detected
and comparison output. If it detects no faces, it results in informing that no face is