Fast Head Modeling for Animation

Lee, W. and Magnenat-Thalmann, N.

Abstract: This paper describes an efficient method to make individual faces for animation from several possible inputs. We present a method to reconstruct 3D facial model for animation from two orthogonal pictures taken from front and side views or from range data obtained from any available resources. It is based on extracting features on a face in a semiautomatic way and modifying a generic model with detected feature points. Then the fine modifications follow if range data is available. Automatic texture mapping is employed using a composed image from the two images. The reconstructed 3Dface can be animated immediately with given expression parameters. Several faces by one methodology applied to different input data to get a final animatable face are illustrated.

  journal = {Journal Image and Vision Computing},
  author = {Lee, W. and Magnenat-Thalmann, N.},
  title = {Fast Head Modeling for Animation},
  publisher = {Elsevier},
  volume = {Vol. 18},
  number = {No. 4},
  pages = {355-364},
  month = mar,
  year = {2000},
  topic = {Cloning}