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 |
Copyright and reproduction |
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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LOIS2016-27 IE2016-64 EMM2016-53 |
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) |
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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) |
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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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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 |
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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 |
6 |
Date of Issue |
2016-09-08 (LOIS, IE, EMM) |
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