The group has recently filed a patent on a method for estimating the attributes of faces detected in pictures. These attributes include the location and orientation and facial "landmarks", such as the eyes, nose tip and chin tip, along with the age, sex, race and facial expression of the person. This project’s aim is to apply these methods to computational photography, linking with other work in the group on shake removal and high-dynamic-range imaging. The project will use information about facial position, pose, eye gaze and expression to control enhancement and restoration algorithms. When applied online within the camera, this will aid in capturing stills of highly-dynamic scenes of people (potentially with application to surveillance as well as photography). When applied offline, it will assist with automatic portrait touch-up and the restoration of old photos and films.