标题:LPQ based static and dynamic modeling of facial expressions in 3D videos
作者:Zhen, Qingkai ;Huang, Di ;Wang, Yunhong ;Chen, Liming
通讯作者:Huang, D
作者机构:[Zhen, Qingkai ;Huang, Di ;Wang, Yunhong ] Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Bei 更多
会议名称:2012 International Conference on Service-Oriented Computing, ICSOC 2012
会议日期:November 16, 2013 - November 17, 2013
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2013
卷:8232 LNCS
页码:122-129
DOI:10.1007/978-3-319-02961-0_15
摘要:Automatic Facial Expression Recognition (FER) is one of the most active topics in the domain of computer vision and pattern recognition. In this paper, we focus on discrete facial expression recognition by using 4D data (i.e. 3D range image sequences), and present a novel method to address such an issue. The Local Phase Quantisation from Three Orthogonal Planes (LPQ-TOP) descriptor is applied to extract both the static and dynamic clues conveyed in facial expressions. On the one hand, it locally captures the shape attributes in each 3D face model (facial range image). On the other hand, it detects the latent temporal information and represents dynamic changes occurred in facial muscle actions. The SVM classifier is finally used to predict the expression type. The experiments are carried out on the BU-4DFE database, and the achieved results demonstrate the effectiveness of the proposed method. © Springer International Publishing 2013.
收录类别:EI
资源类型:会议论文
TOP