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Paper Abstract and Keywords
Presentation 2016-03-10 15:50
Feature Point Extraction from A Manga-Style Illustration of A Facial Image Using SIFT and Color Features as A Feature Vector
Shun Aoki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-59
Abstract (in Japanese) (See Japanese page) 
(in English) Several schemes have been proposed to localize facial parts in natural imamges accurately because many practical applications requires accurately extracted facial keypoints. It is very difficult but a novel approach has
shown a good accuracy for this task: SIFT for local feature extraction and RANSAC-like algorithm for estimation of a global structure. However, this scheme does not work well on illustrations and images including large regions with nearly solid color that is often obtained from animation and 3DGC. To improve the estimation accuracy of facial parts in facial illustrations, we propose a novel scheme that uses color features in addition to SIFT features in local feature extraction of the existing scheme. In the proposed scheme, a feature vector of a local feature extractor consists of a SIFT feature from a image resolution and color histograms though the original scheme uses two SIFT features from two image resolutions. To evaluate the proposed scheme, we have compared the proposed scheme and the existing scheme using a dataset that consits of 1500 images with the coordinates of 13 feature points for a face created by the authors. Experimental results show that the proposed scheme can reduce the estimation error to 41.80% of the inter-ocular distance if the color space, the window size, and the shape of local feature extractor are
LUV, 11×11, and a square, respectively though the existing scheme shows 76.77% of the inter-ocular distance.
Keyword (in Japanese) (See Japanese page) 
(in English) feature point localization / facial image / animation character / SIFT / color histogram / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 505, SIS2015-59, pp. 63-68, March 2016.
Paper # SIS2015-59 
Date of Issue 2016-03-03 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SIS  
Conference Date 2016-03-10 - 2016-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2016-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feature Point Extraction from A Manga-Style Illustration of A Facial Image Using SIFT and Color Features as A Feature Vector 
Sub Title (in English)  
Keyword(1) feature point localization  
Keyword(2) facial image  
Keyword(3) animation character  
Keyword(4) SIFT  
Keyword(5) color histogram  
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1st Author's Name Shun Aoki  
1st Author's Affiliation Meiji University (Meiji Univ.)
2nd Author's Name Ryusuke Miyamoto  
2nd Author's Affiliation Meiji University (Meiji Univ.)
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Speaker Author-1 
Date Time 2016-03-10 15:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2015-59 
Volume (vol) vol.115 
Number (no) no.505 
Page pp.63-68 
#Pages
Date of Issue 2016-03-03 (SIS) 


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