3D facial expression intensity measurement analysis

Alicia, Cheong Chiek Ying and Hamimah, Ujir and Irwandi, Hipiny (2017) 3D facial expression intensity measurement analysis. In: Proceedings of the 6th International Conference on Computing and Informatics, ICOCI 2017, 25-27April, 2017, Universiti Utara Malaysia.

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Abstract

This study used 3D distance vector measurements as the facial feature to classify six basic expressions and the distance vectors are chosen based on Facial Action Coding System (FACS) component, facial action units (AUs). The statistical values are calculated and analyze to determine the AUs involved in facial expression and distance vectors to be taken into account to measure the intensity of each facial expression in a quantitative manner. As a result, 14 facial points are classified as significant in facial expression classification. Those facial points are in the eye, eyebrow and mouth region only. This work reveals that it is not necessary to rely on all facial feature points in estimating facial expression intensity. For Sad expression, the random mean and standard deviation of distance measurements do not indicate which AU should be taken into account to classify this expression.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: 3D facial distance, facial intensity measurement, action units, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: Q Science > QM Human anatomy
T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Saman
Date Deposited: 29 May 2017 01:06
Last Modified: 29 May 2017 01:06
URI: http://ir.unimas.my/id/eprint/16462

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