Facial Expression Recognition Based on Constrained Local Models and Support Vector Machines

Neshov, Nikolay and Draganov, Ivo and Manolova, Agata (2015) Facial Expression Recognition Based on Constrained Local Models and Support Vector Machines. In: 50th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST 2015), June 24-26, 2015, Sofia, Bulgaria.


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This paper presents a face expression recognition algorithm using Constrained Local Model (CLM). CLM is facial alignment method that is based on Active Shape Models (ASM) and Active Appearance Models (AAM). It takes the advantages of both of them and gains high accuracy. To distinguish different expression states, we use CLM model parameters that describe shape deformation in a compact form. These parameters form feature vectors for training Kernel Support Vector Machine (KSVM) classifier. The experimental results over Cohn-Kanade Extended Facial Expression (CK+) database show improvement of the recognition rate in comparison to some existing methods, suggested by other authors.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Constrained Local Model (CLM), Support Vector Machines (SVM), Expression Recognition (ER), Emotion Estimation, OpenIMAJ
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Technical Sciences
Depositing User: ICEST
Date Deposited: 18 Mar 2020 17:10
Last Modified: 18 Mar 2020 17:10
URI: http://eprints.uklo.edu.mk/id/eprint/4236

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