![](/images/graphics-bg.png)
Automated Facial Expression Recognition Using Gradient-Based Ternary Texture Patterns
Joint Authors
Source
Chinese Journal of Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Recognition of human expression from facial image is an interesting research area, which has received increasing attention in the recent years.
A robust and effective facial feature descriptor is the key to designing a successful expression recognition system.
Although much progress has been made, deriving a face feature descriptor that can perform consistently under changing environment is still a difficult and challenging task.
In this paper, we present the gradient local ternary pattern (GLTP)—a discriminative local texture feature for representing facial expression.
The proposed GLTP operator encodes the local texture of an image by computing the gradient magnitudes of the local neighborhood and quantizing those values in three discrimination levels.
The location and occurrence information of the resulting micropatterns is then used as the face feature descriptor.
The performance of the proposed method has been evaluated for the person-independent face expression recognition task.
Experiments with prototypic expression images from the Cohn-Kanade (CK) face expression database validate that the GLTP feature descriptor can effectively encode the facial texture and thus achieves improved recognition performance than some well-known appearance-based facial features.
American Psychological Association (APA)
Ahmed, Faisal& Hossain, Emam. 2013. Automated Facial Expression Recognition Using Gradient-Based Ternary Texture Patterns. Chinese Journal of Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-501690
Modern Language Association (MLA)
Ahmed, Faisal& Hossain, Emam. Automated Facial Expression Recognition Using Gradient-Based Ternary Texture Patterns. Chinese Journal of Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-501690
American Medical Association (AMA)
Ahmed, Faisal& Hossain, Emam. Automated Facial Expression Recognition Using Gradient-Based Ternary Texture Patterns. Chinese Journal of Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-501690
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501690