Facial expression recognition based on improved DAGSVM

Yuan Luo; Ye Cui; Yi Zhang

doi:10.1117/12.2072481

24 November 2014 Facial expression recognition based on improved DAGSVM

Yuan Luo, Ye Cui, Yi Zhang

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 930126 (2014) https://doi.org/10.1117/12.2072481
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

For the cumulative error problem because of randomization sequence of traditional DAGSVM(Directed Acyclic Graph Support Vector Machine) classification, this paper presents an improved DAGSVM expression recognition method. The method uses the distance of class and the standard deviation as the measure of the classer, which minimize the error rate of the upper structure of the classification. At the same time, this paper uses the method which combines discrete cosine transform (Discrete Cosine Transform, DCT) with Local Binary Pattern(Local Binary Pattern，LBP) ,to extract expression feature and be the input to improve the DAGSVM classifier for recognition. Experimental results show that compared with other multi-class support vector machine method, improved DAGSVM classifier can achieve higher recognition rate. And when it’s used at the platform of the intelligent wheelchair, experiments show that the method has a better robustness.

Citation Download Citation

Yuan Luo, Ye Cui, and Yi Zhang "Facial expression recognition based on improved DAGSVM", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 930126 (24 November 2014); https://doi.org/10.1117/12.2072481

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available