"GPU based real-time simulation of massive falling leaves" by Chengyang Li, Jingye Qian et al.

Article Title

GPU based real-time simulation of massive falling leaves

Authors

Chengyang Li, Department of Computer Science, Zhejiang University, Hangzhou 310027, China.
Jingye Qian, Department of Computer Science, Zhejiang University, Hangzhou 310027, China.
Ruofeng Tong, Department of Computer Science, Zhejiang University, Hangzhou 310027, China.
Jian Chang, National Centre for Computer Animation, Bournemouth University, Poole, BH12 5BB, UK.
Jianjun Zhang, National Centre for Computer Animation, Bournemouth University, Poole, BH12 5BB, UK.

Keywords

real-time simulation, falling leaves, GPU acceleration

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.

DOI

https://doi.org/10.1007/s41095-015-0025-1

Publisher

Tsinghua University Press

Recommended Citation

Chengyang Li, Jingye Qian, Ruofeng Tong et al. GPU based real-time simulation of massive falling leaves. Computational Visual Media 2015, 1(4): 351-358.

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