Facial tracking with head pose estimation in stereo vision

Yu Huang, Tom Huang

Research output: Contribution to conferencePaper

Abstract

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)
PagesIII/833-III/836
StatePublished - Jan 1 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period9/22/029/25/02

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Keywords

  • Facial tracking
  • Head pose
  • Stereo vision

ASJC Scopus subject areas

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

Cite this

Huang, Y., & Huang, T. (2002). Facial tracking with head pose estimation in stereo vision. III/833-III/836. Paper presented at International Conference on Image Processing (ICIP'02), Rochester, NY, United States.