Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.

This paper describes a technique to estimate human face pose from colour video sequence using Dynamic Bayesian Network(DBN). As face and facial features trackers usually track eyes, pupils, mouth corners and skin region(face), our proposed method utilizes merely three of these features – pupils, mo...

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Bibliographic Details
Main Authors: A. Suandi, Shahrel, Enokida, Shuichi, Ejima, Toshiaki
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.usm.my/15180/1/paper.pdf
http://eprints.usm.my/15180/
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Institution: Universiti Sains Malaysia
Language: English
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