This page describes work on morphable models within the computer vision group at the Compaq Computer Corporation Cambridge Research Lab . This new representation can then be used in a variety of image analysis tasks such as face recognition, facial expression recognition, pose estimation and gender classification, for example.
Morphable models capture the variations in the shape and texture of a particular object class.
From these two face images we can generate a large number of new faces. Morphable models takes this idea further by using linear combinations of many face prototypes instead of only two. A morphable model for an object class such as faces is built from a set of prototype images. One prototype is selected as the reference image. All other prototypes are put into pixelwise correspondence with the reference image.