摘要
植物叶可视建模是虚拟植物研究的重要组成部分。论文提出了一种结合图像重建技术和L系统的交互式叶重建方法,并利用图像验证技术使生成的叶生长模型有更好的视觉效果和可控性。首先根据叶生长周期,采集叶数码图像集,提取叶特征参数;然后基于叶特征参数,应用参数L系统,生成叶的分枝结构;对生成的叶结构进行图像比较验证,修正生成的叶分枝结构;最后以叶分枝结构为基础,重构叶表面,贴纹理;并采用龟图控制技术实现了叶模型的三维自由形变。
Plants are complex structures,leaf is vital in capturing the character of a species.This paper proposes an interactive method for modeling leaves based on biological data for each individual plant.The modeling process begins with a onedimensional analogue of implicit surfaces,generates a 2D silhouette of a leaf based on image segmentation.Then the silhouette＇s skeleton is obtained.Thirdly,extract feature parameters of leaf based on biologically experimental data,revise the obtained leaf structure based on comparing the synthetic result with the real leaf,so the leaf structure is more realistic.Finally,construct the leaf mesh by sweeps,and give the conclusion.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第9期231-233,236,共4页
Computer Engineering and Applications
基金
高等院校博士学科点专项科研基金(the China Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20050611027)。
关键词
虚拟植物
叶重建
L-系统
图像分割
virtual plant
leaf reconstructing
L-systems
images segmentation
