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Journal Article A Probabilistic Network for Facial Feature Verification
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Authors
Kyoung-Ho Choi, Jae-Joon Yoo, Tae-Hyun Hwang, Jong-Hyun Park, Jong-Hoon Lee
Issue Date
2003-04
Citation
ETRI Journal, v.25, no.2, pp.140-143
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.03.0202.0205
Abstract
In this paper, we present a probabilistic approach to determining whether extracted facial features from a video sequence are appropriate for creating a 3D face model. In our approach, the distance between two feature points selected from the MPEG-4 facial object is defined as a random variable for each node of a probability network. To avoid generating an unnatural or non-realistic 3D face model, automatically extracted 2D facial features from a video sequence are fed into the proposed probabilistic network before a corresponding 3D face model is built. Simulation results show that the proposed probabilistic network can be used as a quality control agent to verify the correctness of extracted facial features.