We describe a system that automatically generates varied geomet- ric models of human faces. A collection of random measurements of the face is generated according to anthropometric statistics for likely face measurements in a population. These measurements are then treated as constraints on a parameterized surface. Variational modeling is used to find a smooth surface that satisfies these con- straints while using a prototype shape as a reference.