Redundancy reduction in 3D facial motion capture data for animation

Daniela I. Wellein, Cristóbal Curio, Heinrich H. Bülthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research on the perception of dynamic faces often requires realtime animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50%, while retaining the overall animation quality.

Original languageEnglish
Title of host publicationProceedings - APGV 2007
Subtitle of host publicationSymposium on Applied Perception in Graphics and Visualization
Pages136
Number of pages1
DOIs
Publication statusPublished - 2007
EventAPGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization - Tubingen, Germany
Duration: 2007 May 252007 May 27

Publication series

NameACM International Conference Proceeding Series
Volume253

Other

OtherAPGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization
Country/TerritoryGermany
CityTubingen
Period07/5/2507/5/27

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Redundancy reduction in 3D facial motion capture data for animation'. Together they form a unique fingerprint.

Cite this