Pose-variant facial expression recognition using an embedded image system

Kai-Tai Song; Meng-Ju Han; Shuo-Hung Chang

doi:10.1117/12.819570

31 December 2008 Pose-variant facial expression recognition using an embedded image system

Kai-Tai Song, Meng-Ju Han, Shuo-Hung Chang

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71300X (2008) https://doi.org/10.1117/12.819570
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

Abstract

In recent years, one of the most attractive research areas in human-robot interaction is automated facial expression recognition. Through recognizing the facial expression, a pet robot can interact with human in a more natural manner. In this study, we focus on the facial pose-variant problem. A novel method is proposed in this paper to recognize pose-variant facial expressions. After locating the face position in an image frame, the active appearance model (AAM) is applied to track facial features. Fourteen feature points are extracted to represent the variation of facial expressions. The distance between feature points are defined as the feature values. These feature values are sent to a support vector machine (SVM) for facial expression determination. The pose-variant facial expression is classified into happiness, neutral, sadness, surprise or anger. Furthermore, in order to evaluate the performance for practical applications, this study also built a low resolution database (160x120 pixels) using a CMOS image sensor. Experimental results show that the recognition rate is 84% with the self-built database.

Citation Download Citation

Kai-Tai Song, Meng-Ju Han, and Shuo-Hung Chang "Pose-variant facial expression recognition using an embedded image system", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71300X (31 December 2008); https://doi.org/10.1117/12.819570

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Facial recognition systems

Databases

CMOS sensors

Image processing

Embedded systems

Eye

Positron emission tomography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years