A novel selection model of random features for the estimation of facial expression
Đỗ Năng Toàn, Huynh Cao Tuan, Hà Mạnh Toàn · International Journal of ADVANCED AND APPLIED SCIENCES · 2018
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.