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 |
Download PDF |
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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) |
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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 |
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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 |
#Pages |
4 |
Date of Issue |
2015-02-21 (ME) |