【摘要】 生成图形相似性太强和不易局部控制是目前主流植物建模方法存在的共同不足之处,基于指定树木的分枝类型和空间的随机分布点,提出了一种新的树木建模方法,克服了目前树木建模方法的上述缺陷;同时,该方法还能简便地进一步控制树木枝条的稀疏密集和光顺程度。实验结果表明,该方法生成的图形逼真、自然,为树木建模提供了一种新的思路。更多还原

【Abstract】 L-systems,IFS and fractal method are the prevailing modeling methods for trees,but two common shortages exist in them.One is that the generated graphs are of strong self-similarity and unable to represent the differences of different trees.The other is that local tiny change of parameter will cause tremendous change of globe shape,so it is froward to model trees.Based on the branching type and stochastic space points,proposed a novel modeling method for trees.This method not only overcame the above shortcoming but also could easily control the branches’ smooth level and density.Experiments show that the result graphs are true to nature and the modeling method can be applied to computer animation.更多还原