Spatiotemporal local orientational binary patterns for facial expression recognition from video sequences

2012 ◽  
Author(s):  
Xiaofeng Fu ◽  
Rongbo Wang ◽  
Jinliang Yao ◽  
Hao Qi ◽  
Yunfei Guo
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Video Sequences ◽  
Expression Recognition

Automatic Facial Expression Recognition by Facial Parts Location with Boosted-LBP

2013 ◽  
pp. 42-55
Author(s):  
Yi Ji ◽  
Khalid Idrissi
Keyword(s):  
Feature Extraction ◽  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Recognition System ◽  
Video Sequences ◽  
Polynomial Kernel ◽  
Expression Recognition ◽  
Emotional States ◽  
Small Set

This paper proposes an automatic facial expression recognition system, which uses new methods in both face detection and feature extraction. In this system, considering that facial expressions are related to a small set of muscles and limited ranges of motions, the facial expressions are recognized by these changes in video sequences. First, the differences between neutral and emotional states are detected. Faces can be automatically located from changing facial organs. Then, LBP features are applied and AdaBoost is used to find the most important features for each expression on essential facial parts. At last, SVM with polynomial kernel is used to classify expressions. The method is evaluated on JAFFE and MMI databases. The performances are better than other automatic or manual annotated systems.

Erratum to: A survey on facial expression recognition in 3D video sequences

2014 ◽  
Vol 74 (15) ◽  
pp. 5617-5621 ◽  
Author(s):  
Antonios Danelakis ◽  
Theoharis Theoharis ◽  
Ioannis Pratikakis
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
3D Video ◽  
Video Sequences ◽  
Expression Recognition

scholarly journals Facial expression recognition from video sequences: temporal and static modeling

2003 ◽  
Vol 91 (1-2) ◽  
pp. 160-187 ◽  
Author(s):  
Ira Cohen ◽  
Nicu Sebe ◽  
Ashutosh Garg ◽  
Lawrence S. Chen ◽  
Thomas S. Huang
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Video Sequences ◽  
Expression Recognition ◽  
Static Modeling
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