By Topic

Real-time Facial Expression Recognition Based on Adaptive Canny Operator Edge Detection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Peng Zhao-yi ; Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China ; Zhu Yan-hui ; Zhou Yu

In this paper, proposed a method of real-time facial expression recognition based on adaptive Canny operator edge detection. In this method, first used face location based on an adaptive skin color and structure model. Then, used facial expression feature extraction method based on adaptive Canny operator edge detection and AAM (Active Appearance Model) algorithm combined, which reduced the computational complexity and improved the accuracy of feature point location. During the using of Canny operator edge detection, the entire image was divided into multiple sub-images. And according to the edge gradient information of the sub-images, dynamic threshold was generated self-adaptively combined with the characteristics information of global edge gradient, which improved the edge detection results. Finally, used least -squares method to classify and identify the characteristics information. Experiments showed the effectiveness of this method in facial expression recognition and that it can meet the requirements in real-time systems.

Published in:

Multimedia and Information Technology (MMIT), 2010 Second International Conference on  (Volume:2 )

Date of Conference:

24-25 April 2010