Physically-based Dynamic Algorithms for Time-Varying of Flowers and Leaves

doi:10.16182/j.issn1004731x.joss.201806010

Abstract

Abstract: This paper presents physically-based simulations of dynamic algorithms of the blossom and fading of flowers as well as the time-varying leaves following the seasons. The models of the flowers are constructed according to the previously collected primary biological data of organs of flowers. The dynamic simulation is presented by two phases: the process of blooming and the process of fading. To simulate the former, the curved surfaces of petals are controlled by controlling the points on the Bezier surface; for realizing the simulation of the latter, the physical method is used. The dynamic effects of colors of leaves according to the changes of seasons are simulated by the texture synthesis algorithm. The experimental results show that the proposed algorithm is able to effectively simulate the process of blossom and fading of different kinds of flowers under the influence of the wind, which proves its application value and broad prospects for development.

Key words: flower modeling, blooming dynamics, litterfall dynamics, time varying, physical simulation

CLC Number:

TP391.9

Jiao Di, Yang Meng, Yang Gang. Physically-based Dynamic Algorithms for Time-Varying of Flowers and Leaves[J]. Journal of System Simulation, 2018, 30(6): 2076-2085.

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