Motion Learning Based on Bayesian Program Learning

The concept of virtual human has been highly anticipated since the 1980s. By using computer technology, Human motion simulation could generate authentic visual effect, which could cheat human eyes visually. Bayesian Program Learning train one or few motion data, generate new motion data by decomposi...

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Main Authors:	Cheng Meng-Zhen, Tang Quan-Hua, Huang Long-Jun
Format:	Article
Language:	English
Published:	EDP Sciences 2017-01-01
Series:	ITM Web of Conferences
Online Access:	https://doi.org/10.1051/itmconf/20171205011

id	doaj-385af3efd81d492d9bba117a8502dc26
record_format	Article
spelling	doaj-385af3efd81d492d9bba117a8502dc262021-02-02T07:27:16ZengEDP SciencesITM Web of Conferences2271-20972017-01-01120501110.1051/itmconf/20171205011itmconf_ita2017_05011Motion Learning Based on Bayesian Program LearningCheng Meng-ZhenTang Quan-HuaHuang Long-JunThe concept of virtual human has been highly anticipated since the 1980s. By using computer technology, Human motion simulation could generate authentic visual effect, which could cheat human eyes visually. Bayesian Program Learning train one or few motion data, generate new motion data by decomposing and combining. And the generated motion will be more realistic and natural than the traditional one.In this paper, Motion learning based on Bayesian program learning allows us to quickly generate new motion data, reduce workload, improve work efficiency, reduce the cost of motion capture, and improve the reusability of data.https://doi.org/10.1051/itmconf/20171205011
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Cheng Meng-Zhen Tang Quan-Hua Huang Long-Jun
spellingShingle	Cheng Meng-Zhen Tang Quan-Hua Huang Long-Jun Motion Learning Based on Bayesian Program Learning ITM Web of Conferences
author_facet	Cheng Meng-Zhen Tang Quan-Hua Huang Long-Jun
author_sort	Cheng Meng-Zhen
title	Motion Learning Based on Bayesian Program Learning
title_short	Motion Learning Based on Bayesian Program Learning
title_full	Motion Learning Based on Bayesian Program Learning
title_fullStr	Motion Learning Based on Bayesian Program Learning
title_full_unstemmed	Motion Learning Based on Bayesian Program Learning
title_sort	motion learning based on bayesian program learning
publisher	EDP Sciences
series	ITM Web of Conferences
issn	2271-2097
publishDate	2017-01-01
description	The concept of virtual human has been highly anticipated since the 1980s. By using computer technology, Human motion simulation could generate authentic visual effect, which could cheat human eyes visually. Bayesian Program Learning train one or few motion data, generate new motion data by decomposing and combining. And the generated motion will be more realistic and natural than the traditional one.In this paper, Motion learning based on Bayesian program learning allows us to quickly generate new motion data, reduce workload, improve work efficiency, reduce the cost of motion capture, and improve the reusability of data.
url	https://doi.org/10.1051/itmconf/20171205011
work_keys_str_mv	AT chengmengzhen motionlearningbasedonbayesianprogramlearning AT tangquanhua motionlearningbasedonbayesianprogramlearning AT huanglongjun motionlearningbasedonbayesianprogramlearning
_version_	1724299432915107840

Motion Learning Based on Bayesian Program Learning

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