Facial expression control of 3-dimensional face model using facial feature extraction

2011 ◽  
Author(s):  
Abraham Ranardo Sumarsono ◽  
Iping Supriana Suwardi
Keyword(s):  
Feature Extraction ◽  
Facial Expression ◽  
Facial Feature ◽  
Face Model ◽  
3 Dimensional ◽  
Facial Feature Extraction ◽  
Expression Control ◽  
Dimensional Face

Research on the Facial Expression Feature Extraction of Facial Expression Recognition Based on MATLAB

2014 ◽  
Vol 1049-1050 ◽  
pp. 1522-1525
Author(s):  
Wang Ju ◽  
Ding Rui ◽  
Chun Yan Nie
Keyword(s):  
Pattern Recognition ◽  
Feature Extraction ◽  
Facial Expression ◽  
Interpersonal Communication ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Facial Feature ◽  
Expression Recognition ◽  
Information Communication ◽  
Facial Feature Extraction

In such a developed day of information communication, communication is an important essential way of interpersonal communication. As a carrier of information, expression is rich in human behavior information. Facial expression recognition is a combination of many fields, but also a new topic in the field of pattern recognition. This paper mainly studied the facial feature extraction based on MATLAB, by MATLAB software, extracting the expression features through a large number of facial expressions, which can be divided into different facial expressions more accurate classification .

A Hierarchical Facial Feature Extraction Method for Expression Recognition

2012 ◽  
Vol 452-453 ◽  
pp. 802-806
Author(s):  
Jin Lin Han ◽  
Hong Zhang
Keyword(s):  
Feature Extraction ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Extraction Method ◽  
Facial Feature ◽  
Support Vector ◽  
Expression Recognition ◽  
Feature Extraction Method ◽  
Facial Identity ◽  
Facial Feature Extraction

With the development of computer visual technology, facial expression recognition plays an important role in the friendly and harmonious human-computer interaction field.Against the inadequacy of the original feature extraction method based on singular value decomposition, this paper proposed a hierarchical facial feature extraction method according to the needs of facial expression recognition, which combines the way of hierarchy and block to enhance the detail information of the image. Then utilize a combination of support vector machine to classify. The results of the two experiments show that the method is effective for the facial identity and expression recognition.

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