  This paper describes a pipeline built with open source tools for
interpolating 3D facial expressions taken from images. The presented approach
allows anyone to create 3D face animations from 2 input photos: one from the
start face expression, and the other from the final face expression. Given the
input photos, corresponding 3D face models are constructed and texture-mapped
using the photos as textures aligned with facial features. Animations are then
generated by morphing the models by interpolation of the geometries and
textures of the models. This work was performed as a MS project at the
University of California, Merced.
