Journals Information
World Journal of Computer Application and Technology(CEASE PUBLICATION) Vol. 2(7), pp. 133 - 138
DOI: 10.13189/wjcat.2014.020701
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Optimized Structure for Facial Action Unit Relationship Using Bayesian Network
Yee Koon Loh *, Shahrel A. Suandi
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia
ABSTRACT
Facial expression recognition has been a very important task for human-computer interactions. Computer vision techniques have been much employed to get the automated recognition of facial expression. Facial Action Coding System has best described on facial expression, which includes 46 action units that involve facial muscle movements. In this paper, the relationships between Action Units are modeled using Bayesian Network structure. Action Units relationship and modeling are explained, and the learning algorithms for Bayesian Network structure are discussed. The aim of this work is to get the optimized structure to best explain the relationships of AUs based on two AU-coded databases. The relationships among AUs are important for further facial expression recognition. Experiments demonstrate that a prior network is essential to start up and ease the searching process. Due to the complexity of the possible structures, constraints are applied to simplify the work. Bayesian Network parameters are also learned from two databases for different structures to do Bayesian Network inference and classification based on the data set. Average recognition rate for each AU is illustrated, and the overall recognition performance is analyzed to get the optimized structure to best describe the AU relationship.
KEYWORDS
Structure learning, Bayesian Network, Facial Action Unit
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Yee Koon Loh , Shahrel A. Suandi , "Optimized Structure for Facial Action Unit Relationship Using Bayesian Network," World Journal of Computer Application and Technology(CEASE PUBLICATION), Vol. 2, No. 7, pp. 133 - 138, 2014. DOI: 10.13189/wjcat.2014.020701.
(b). APA Format:
Yee Koon Loh , Shahrel A. Suandi (2014). Optimized Structure for Facial Action Unit Relationship Using Bayesian Network. World Journal of Computer Application and Technology(CEASE PUBLICATION), 2(7), 133 - 138. DOI: 10.13189/wjcat.2014.020701.