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Paper Abstract and Keywords
Presentation 2016-09-16 15:30
A Study on Colorization in Photo-Realistic Facial Animation Synthesis from Text Based on HMM and DNN with Animation Unit
Kazuki Sato, Takashi Nose, Akinori Ito (Tohoku Univ.) LOIS2016-27 IE2016-64 EMM2016-53
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a technique for synthesizing photo-realistic facial animation from a text based on hidden Markov model (HMM) and deep neural network (DNN) with facial features for an interactive agent implementation. In the proposed technique, we use Animation Units (AUs) as facial features that express the state of each part of face and can be obtained by Kinect. We synthesize facial features from any text using the same framework as the HMM-based speech synthesis. Facial features are generated from an HMM and are converted into intensities of pixels using DNN. In this paper, we investigated colorization of the image that was not investigated yet. Besides, we investigated appropriate conditions for training of HMM and DNN when we synthesize color facial animation by the proposed method. Then, we performed an objective and a subjective evaluation to compare the proposed technique with the conventional technique based on the principal component analysis (PCA).
Keyword (in Japanese) (See Japanese page) 
(in English) Photo-realistic facial animation / face image synthesis / hidden Markov model / Deep Neural Network / Kinect / Animation Unit / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 222, EMM2016-53, pp. 67-72, Sept. 2016.
Paper # EMM2016-53 
Date of Issue 2016-09-08 (LOIS, IE, EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Conference Information
Committee ITE-ME IE EMM LOIS IEE-CMN  
Conference Date 2016-09-15 - 2016-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMM 
Conference Code 2016-09-ME-IE-EMM-LOIS-CMN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Colorization in Photo-Realistic Facial Animation Synthesis from Text Based on HMM and DNN with Animation Unit 
Sub Title (in English)  
Keyword(1) Photo-realistic facial animation  
Keyword(2) face image synthesis  
Keyword(3) hidden Markov model  
Keyword(4) Deep Neural Network  
Keyword(5) Kinect  
Keyword(6) Animation Unit  
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Keyword(8)  
1st Author's Name Kazuki Sato  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Takashi Nose  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Akinori Ito  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2016-09-16 15:30:00 
Presentation Time 30 minutes 
Registration for EMM 
Paper # LOIS2016-27, IE2016-64, EMM2016-53 
Volume (vol) vol.116 
Number (no) no.220(LOIS), no.221(IE), no.222(EMM) 
Page pp.67-72 
#Pages
Date of Issue 2016-09-08 (LOIS, IE, EMM) 


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