计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (9): 231-233.

• 工程与应用 • 上一篇    下一篇

结合L系统和图像合成技术的叶表面重建研究

李云峰 汪成亮 曹渝昆 何希平   

  1. 重庆大学计算机学院
  • 收稿日期:2006-04-13 修回日期:1900-01-01 出版日期:2007-03-21 发布日期:2007-03-21
  • 通讯作者: 李云峰

Leaf Reconstructing combining L-system and Synthetic image

yunfeng li   

  • Received:2006-04-13 Revised:1900-01-01 Online:2007-03-21 Published:2007-03-21
  • Contact: yunfeng li

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。

关键词: 虚拟植物, 叶重建, L-系统, 图像分割

Abstract: Plants are complex structures, leaf is vital in capturing the character of a species. This paper proposed an interactive method for modeling leaves based on biological data for each individual plant. The modeling process begins with a one-dimensional 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

Key words: images segmentation, virtual plant, leaf reconstructing, L-systems