AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

GPU based real-time simulation of massive falling leaves

Department of Computer Science, Zhejiang University, Hangzhou 310027, China.
National Centre for Computer Animation, Bournemouth University, Poole, BH12 5BB, UK.
Show Author Information

Abstract

As an important autumn feature, scenes with large numbers of falling leaves are common in movies and games. However, it is a challenge for computer graphics to simulate such scenes in an authentic and efficient manner. This paper proposes a GPU based approach for simulating the falling motion of many leaves in real time. Firstly, we use a motion-synthesis based method to analyze the falling motion of the leaves, which enables us to describe complex falling trajectories using low-dimensional features. Secondly, we transmit a primitive-motion trajectory dataset together with the low-dimensional features of the falling leaves to video memory, allowing us to execute the appropriate calculations on the GPU.

References

【1】
【1】
 
 
Computational Visual Media
Pages 351-358

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Li C, Qian J, Tong R, et al. GPU based real-time simulation of massive falling leaves. Computational Visual Media, 2015, 1(4): 351-358. https://doi.org/10.1007/s41095-015-0025-1

1908

Views

151

Downloads

3

Crossref

N/A

Web of Science

5

Scopus

0

CSCD

Revised: 23 September 2015
Accepted: 20 October 2015
Published: 14 November 2015
© The Author(s) 2015

This article is published with open access at Springerlink.com

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.