NDLI: Feature Extraction and Facial Expression Recognition Based on Bezier Curve

Content Provider	IEEE Xplore Digital Library
Author	Hong Bao Tao Ma
Copyright Year	2014
Description	Author affiliation: Univ. of Sci. & Technol. Beijing, Beijing, China (Hong Bao; Tao Ma)
Abstract	In recent years, facial expression recognition has drawn more and more attention of artificial intelligence experts and scholars. There are two main methods to character the features of facial expression. The first one is local feature representation method, it uses facial feature points to represent the key facial parts which make marjor contributions to facial expression recognition, such as eyes, eyebrows, mouth, etc. The second one is global feature representation method, it is achieved by modeling the global face. The advantage of the first method is a small amount of calculation and time, but the error due to the feature points tracking and the error caused by the method itself result in lower recognition rate. The second method, in spite of its high recognition rate, takes a long time due to a great amount of useless calculation. This paper proposes a new feature extraction method based on Bezier curve. On the basis of local feature representation and Bezier curves, this method can accurately portray the key parts with few Bezier control-points, and with less point tracking. With much less calculation and more accurate feature, we obtained ideal recognition rate through rigorous experiment.
Starting Page	884
Ending Page	887
File Size	230979
Page Count	4
File Format	PDF
ISBN	9781479962396
DOI	10.1109/CIT.2014.140
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Face recognition Conferences feature extraction Mouth Feature extraction Bezier Curve control point Face Eyebrows facial expression recognition SVM classifier
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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