GPU based real-time simulation of massive falling leaves

Authors: Li, C., Qian, J., Tong, R., Chang, J. and Zhang, J.

Journal: Computational Visual Media

Volume: 1

Issue: 4

Pages: 351-358

eISSN: 2096-0662

ISSN: 2096-0433

DOI: 10.1007/s41095-015-0025-1


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.

Source: Scopus