Volume 5, Issue 6 (June 2018), Pages: 56-60

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 Original Research Paper

 Title: A novel selection model of random features for the estimation of facial expression

 Author(s): Do Nang Toan ^{1, *}, Huynh Cao Tuan ², Ha Manh Toan ³

 Affiliation(s):

 ¹The Information Technology Institute (ITI), Vietnam National University, Hanoi, Vietnam
 ²Lac Hong University, Dong Nai, Vietnam
 ³Institute of Information Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam

 https://doi.org/10.21833/ijaas.2018.06.008

 Full Text - PDF          XML

 Abstract:

Estimation of facial expressions has been an important focus in several practical applications of machine vision and virtual reality; such as assessing the satisfaction level of customers in using products/services or modelling virtual broadcasters. In this study, we propose a novel approach in estimating the facial expressions based on the automatic mechanism to randomly select facial geometric features and organize them into a tree model. By testing with the standard dataset JAFFE, it is found that our proposed model is efficient and effective and should be considered in the practical implementation. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Facial expression, Facial emotion, Active appearance models, Japanese female facial expression

 Article History: Received 9 January 2018, Received in revised form 25 March 2018, Accepted 3 April 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.06.008

 Citation:

 Toan DN, Tuan HC, and Toan HM (2018). A novel selection model of random features for the estimation of facial expression. International Journal of Advanced and Applied Sciences, 5(6): 56-60

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I6/Toan.html

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