Facial tracking with head pose estimation in stereo vision

Yu Huang, Tom Huang

Research output: Contribution to conferencePaperpeer-review


Facial tracking is a key step for face modeling, coding and animation. In this paper we present a facial tracking method in stereo vision. We use an efficient representation of 3-D face motion, consisting of global head motion and local facial deformation. Stereo vision is utilized to measure 3-D coordinates of the face, the global and local motion parameters of the tracked face is solved respectively. From the 3-D space to the left and right image space we employ re-projection to realize 3-D tracking. Experiment results of our method are given to demonstrate its performance.

Original languageEnglish (US)
StatePublished - 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002


OtherInternational Conference on Image Processing (ICIP'02)
Country/TerritoryUnited States
CityRochester, NY


  • Facial tracking
  • Head pose
  • Stereo vision

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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