Region division based real-time cloth simulation
Authors: 
Xiao Cao, Shuangjiu Xiao, Xin ShiAuthors Info & Claims
Xiao Cao, Shuangjiu Xiao, Xin ShiAuthors Info & ClaimsPages 205 - 208
Abstract
Wrinkle is the most significant dynamic effects on cloth simulation. Although clothes with wrinkles make graphics more believable, many real time graphics systems make compromises on it because of time and space consuming.
A region division based method is presented in this paper to add wrinkle effect to cloth while keeping the simulation speed fast enough to be real time. This method can simulate wrinkle effect without using additional cloth consists of different resolution mesh, which avoids the computation to build the connection between them and saves the space to store the additional cloth. With the concept of position based dynamics, a new method of region division is proposed. In this method, the entire cloth is treated as a connection of different regions. Cloth is divided into different regions according to the position of different joints. Vertex cover method is used to reduce the number of vertices to be taken into computation in each of these regions. Connections between different regions are built based on the position relationship between them. Practical experiment result shows that the method can simulate the wrinkle detail without using additional cloth consists of higher resolution mesh.
References
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Index Terms
- Region division based real-time cloth simulation
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Information & Contributors
Information
Published In
November 2014
246 pages
ISBN:9781450332545
DOI:10.1145/2670473
- General Chairs:
- Xiaogang Jin,
- Nadia Magnenat-Thalmann,
- Hyun Seung Yang,
- Program Chairs:
- Xubo Yang,
- Tomasz Bednarz,
- Issei Fujishiro
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Association for Computing Machinery
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Publication History
Published: 30 November 2014
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- Research-article
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VRCAI 2014
Sponsor:
VRCAI 2014: 13th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry
November 30 - December 2, 2014
Shenzhen, China
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Overall Acceptance Rate 51 of 107 submissions, 48%
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