Real-Time Facial Analysis for Virtual Teleconferencing

Authors:
David Machin
Affiliations:
-
Venue:
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Year:
1996

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Abstract

Image analysis for a virtual tele-conferencing system is described. Eyes are tracked in real-time using multi-resolution grey-scale correlation. Locating the eyes allows the positions of other facial features to be approximated. The head orientation is calculated by comparing the eye locations in the video images to the positions of the top and sides of the head. The direction and gesture parameters are transmitted to a three dimensional animated +clone+ in a virtual office or virtual conferencing room.