Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
3155-3161

Perspective-grid-based adaptive narrow-band surface particle extraction method

Zhou Zhiqianga
Wu Tonga
Zhang Yancia,b
a. National Key Laboratory of Fundamental Science on Synthetic Vision, b. College of Computer Science, Sichuan University, Chengdu 610065, China
DOI: 10.19734/j.issn.1001-3695.2023.01.0022

Abstract

In order to improve the efficiency of particle-based fluid surface reconstruction, this paper proposed a perspective-grid-based adaptive narrow-band surface particle extraction method. Compared with the object-space-based method, this scheme adaptively extracted the surface particles closest to the viewpoint within the frustum according to the particle density, dispersion coefficient, so that the number of surface particles and memory consumption were related to the visible surface area, rather than the entire fluid surface or simulation domain. In addition, this paper presented an adaptive thickness estimation method based on particle density by taking advantage of the arrangement of perspective grids along the view. Experiments show that this scheme effectively reduces surface particles by 40% to 76% and memory overhead by 30% to 50%, solves the problems of surface particle redundancy and holes, and quickly obtains thickness information at a lower cost. This scheme brings significant performance improvement for surface reconstruction and rendering, and can better handle the surface reconstruction and rendering of large-scale particle sets.

Foundation Support

四川省重点研发项目(2023YFG0122)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0022
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Technology of Graphic & Image
Pages: 3155-3161
Serial Number: 1001-3695(2023)10-042-3155-07

Publish History

[2023-04-06] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

周志强, 吴桐, 张严辞. 基于透视网格的自适应窄带表面粒子提取方法 [J]. 计算机应用研究, 2023, 40 (10): 3155-3161. (Zhou Zhiqiang, Wu Tong, Zhang Yanci. Perspective-grid-based adaptive narrow-band surface particle extraction method [J]. Application Research of Computers, 2023, 40 (10): 3155-3161. )

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.

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