loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth International Conference on Computer and Information Technology (CIT'04)
Facial Expression Recognition Based on Local Binary Patterns and Coarse-to-Fine Classification
Wuhan, China
September 14-September 16
ISBN: 0-7695-2216-5
ASCII Text
x 
 
Xiaoyi Feng, "Facial Expression Recognition Based on Local Binary Patterns and Coarse-to-Fine Classification," Computer and Information Technology, International Conference on, pp. 178-183, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2004.1357193,
author = {Xiaoyi Feng},
title = {Facial Expression Recognition Based on Local Binary Patterns and Coarse-to-Fine Classification},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {178-183},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357193},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Facial Expression Recognition Based on Local Binary Patterns and Coarse-to-Fine Classification
SN - 0-7695-2216-5
SP178
EP183
A1 - Xiaoyi Feng,
PY - 2004
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Xiaoyi Feng, Northwestern Polytechnic University
Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.
Citation:
Xiaoyi Feng, "Facial Expression Recognition Based on Local Binary Patterns and Coarse-to-Fine Classification," cit, pp.178-183, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.