Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Research on animation modeling and 3D capture technology based on affective computing

Authors
Fenghua Ye
Corresponding Author
Fenghua Ye
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.77How to use a DOI?
Keywords
affective computing; animation modeling; 3D rendering; motion capture; new media
Abstract

Animation is endowed with a lot of emotions and thoughts as an artistic form with independent aesthetic meaning, and it requires the creation of emotional methods how to properly handle the various emotion in the animation design together. The emotion animation modeling and 3D capture technology had been presented in this study, from the perspective of new media art, and based on the affective computing method, and its feasibility has been verified through the analysis, modeling and identification of animation emotion model. It can be concluded that animation emotional computing technology can successfully identify facial expression muscle contraction by animation Emotion Modeling and 3D expression capture experiment, which provide a useful data for facial expression animation rendering and manufacturing.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.77How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fenghua Ye
PY  - 2017/04
DA  - 2017/04
TI  - Research on animation modeling and 3D capture technology based on affective computing
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 363
EP  - 367
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.77
DO  - 10.2991/fmsmt-17.2017.77
ID  - Ye2017/04
ER  -