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Paper Abstract and Keywords
Presentation 2015-02-28 11:45
Evaluation of Wrong Extraction Results of Facial Feature Points in Automatic Caricature System -- Utilization of Principal Component Analysis Method --
Nei Kou, Tomoaki Nakamura, Masahide Kaneko (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) The authors have developed an automatic caricature system using the principal component analysis for facial feature points. Because of the various influences caused by differences in individual persons and shooting conditions, automatically extracted facial feature points sometimes contain the wrong results. This paper proposes a new method to probabilistically evaluate the wrong extraction of feature points of mouth based on the shapes represented by each of principal components and statistical distribution of principal component scores. Furthermore the misdetections of feature points are corrected by reflecting the characteristics of principal components. The experimental results show the effectiveness of the proposed method for the mouth.
Keyword (in Japanese) (See Japanese page) 
(in English) Facial Feature Points / Statistical Characteristics / Principal Component Analysis / Caricatures / / / /  
Reference Info. ITE Tech. Rep., vol. 39, no. 8, ME2015-48, pp. 49-52, Feb. 2015.
Paper # ME2015-48 
Date of Issue 2015-02-21 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee ME  
Conference Date 2015-02-28 - 2015-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2015-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Wrong Extraction Results of Facial Feature Points in Automatic Caricature System 
Sub Title (in English) Utilization of Principal Component Analysis Method 
Keyword(1) Facial Feature Points  
Keyword(2) Statistical Characteristics  
Keyword(3) Principal Component Analysis  
Keyword(4) Caricatures  
1st Author's Name Nei Kou  
1st Author's Affiliation The University of Electro- Communications (UEC)
2nd Author's Name Tomoaki Nakamura  
2nd Author's Affiliation The University of Electro- Communications (UEC)
3rd Author's Name Masahide Kaneko  
3rd Author's Affiliation The University of Electro- Communications (UEC)
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Speaker Author-1 
Date Time 2015-02-28 11:45:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2015-48 
Volume (vol) vol.39 
Number (no) no.8 
Page pp.49-52 
Date of Issue 2015-02-21 (ME) 

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