A new facial feature extraction method based on linear combination model

2004 ◽  
Author(s):  
Yongli Hu ◽  
Baocai Yin ◽  
Dehui Kong
Keyword(s):  
Feature Extraction ◽  
Linear Combination ◽  
Extraction Method ◽  
Facial Feature ◽  
Feature Extraction Method ◽  
Combination Model ◽  
Facial Feature Extraction ◽  
Linear Combination Model

Facial Feature Extraction Method Based on Coefficients of Variances

2007 ◽  
Vol 22 (4) ◽  
pp. 626-632 ◽  
Author(s):  
Feng-Xi Song ◽  
David Zhang ◽  
Cai-Kou Chen ◽  
Jing-Yu Yang
Keyword(s):  
Feature Extraction ◽  
Extraction Method ◽  
Facial Feature ◽  
Feature Extraction Method ◽  
Facial Feature Extraction

A highly scalable incremental facial feature extraction method

2008 ◽  
Vol 71 (10-12) ◽  
pp. 1883-1888 ◽  
Author(s):  
Fengxi Song ◽  
Hang Liu ◽  
David Zhang ◽  
Jingyu Yang
Keyword(s):  
Feature Extraction ◽  
Extraction Method ◽  
Facial Feature ◽  
Feature Extraction Method ◽  
Facial Feature Extraction

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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