Holistic synthesis of human face images

This paper presents a method to automatically synthesize human face images from holistic descriptions. We compactly represent the face set by a small set of prototypes, which can be used in simple ways to generate controlled morphings. This becomes possible because separation of 2D-shape and texture provides a faithful, closed and convex representation of images, and smoothes the mappings between images and their properties. With this approach, the user watches an image being continuously morphed according to his indications, and the synthesized images always obey the natural physiognomic constraints.