Image-based animation of facial expressions

Gideon Moiza, Ayellet Tal, Ilan Shimshoni, David Barnett, Yael Moses

Research output: Contribution to journalArticlepeer-review


We present a novel technique for creating realistic facial animations given a small number of real images and a few parameters for the in-between images. This scheme can also be used for reconstructing facial movies where the parameters can be automatically extracted from the images. The in-between images are produced without ever generating a three-dimensional model of the face. Since facial motion due to expressions are not well defined mathematically our approach is based on utilizing image patterns in facial motion. These patterns were revealed by an empirical study which analyzed and compared image motion patterns in facial expressions. The major contribution of this work is showing how parameterized "ideal" motion templates can generate facial movies for different people and different expressions, where the parameters are extracted automatically from the image sequence. To test the quality of the algorithm, image sequences (one of which was taken from a TV news broadcast) were reconstructed, yielding movies hardly distinguishable from the originals.

Original languageEnglish
Pages (from-to)445-465
Number of pages21
JournalVisual Computer
Issue number7
StatePublished - Nov 2002
Externally publishedYes


  • Facial animation
  • Facial expression reconstruction
  • Image morphing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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