Analysis-based facial expression synthesis

Li An Tang, T. S. Huang

Research output: Contribution to journalConference articlepeer-review


We describe an approach to synthesizing human expressions based on 3D face model and the facial motion parameters obtained by tracking the model vertices in real expression sequences. The synthetic sequences of different expressions can be generated by deforming the face model using these motion parameters. This method can be used to effectively compress video sequences where the human faces are dominant, such as video phones and teleconferences.

Original languageEnglish (US)
Article number413880
Pages (from-to)98-102
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - 1994
EventThe 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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