Technology of Graphic & Image
|
278-283

Multi-resolution cloth construction based on low-resolution cloth sampling

Zhong Litao
Hou Jin
Gong Sui
Zhang Juan
Tang Yuanhao
School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China

Abstract

In order to take into account the fidelity and computational efficiency of cloth simulation, this paper presented a construction method of multi-resolution cloth based on low-resolution cloth sampling. Firstly, through sampling a simulation example of low-resolution cloth movement several times, this paper obtained the average deformation degree, which was represented by the average deformation degree of the vertex and the edge collision mark. Then, according to the results of sampling, it divided the region of low-resolution into high deformation area, middle deformation area and low deformation area. Next, it used the improved adaptive subdivision algorithm to refine the three deformation areas in different extent, so as to construct the multi-resolution geometric model. Finally, through the definition of the mass and the spring coefficient of the cloth, it obtained the multi-resolution physical model. This paper reduces multi-resolution grid number and improves computational efficiency relative to the high-resolution grid. It also improves the fidelity of cloth simulation compare to the low-resolution grid.

Foundation Support

成都市科技资助项目(科技惠民技术研发项目)(2015-HM01-00050-SF)
四川省动漫研究中心2015年度科研资助项目(DM201504)
国家自然科学基金面上资助项目(61371165)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0896
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Graphic & Image
Pages: 278-283
Serial Number: 1001-3695(2019)01-064-0278-06

Publish History

[2019-01-05] Printed Article

Cite This Article

钟李涛, 侯进, 龚随, 等. 基于低精度布料采样的多精度布料构建方法 [J]. 计算机应用研究, 2019, 36 (1): 278-283. (Zhong Litao, Hou Jin, Gong Sui, et al. Multi-resolution cloth construction based on low-resolution cloth sampling [J]. Application Research of Computers, 2019, 36 (1): 278-283. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)