基于物理约束的玉米叶片建模方法
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  • 英文篇名:Virtual Maize Leaf Modeling Based on Physical Constraints
  • 作者:肖伯祥 ; 吴升 ; 郭新宇
  • 英文作者:XIAO Boxiang;WU Sheng;GUO Xinyu;Beijing Research Center for Information Technology in Agriculture,Beijing Academy of Agriculture and Forestry Science;National Engineering Research Center for Information Technology in Agriculture;Beijing Key Laboratory of Digital Plant;
  • 关键词:虚拟建模 ; 物理 ; 玉米 ; 叶片
  • 英文关键词:virtual modeling;;physics;;maize;;leaf
  • 中文刊名:YJGX
  • 英文刊名:Journal of Basic Science and Engineering
  • 机构:北京市农林科学院北京农业信息技术研究中心;国家农业信息化工程技术研究中心;数字植物北京市重点实验室;
  • 出版日期:2018-10-15
  • 出版单位:应用基础与工程科学学报
  • 年:2018
  • 期:v.26
  • 基金:国家自然科学基金“基于运动捕捉的植物动画合成方法研究”(61300079);; 北京市农林科学院数字植物科技创新团队(JNKYT201604)的支持
  • 语种:中文;
  • 页:YJGX201805006
  • 页数:11
  • CN:05
  • ISSN:11-3242/TB
  • 分类号:63-73
摘要
植物真实感建模与仿真不仅是现代农业科学与植物学领域面临的难点问题之一,也是计算机应用与虚拟现实技术领域的研究热点.而玉米是我国乃至世界范围内重要粮食作物,玉米叶片建模是现代农业虚拟植物领域中面临的重要问题.本文提出一种基于物理约束的玉米叶片三维建模方法,主要针对玉米叶片褶皱特征,建立基于质点弹簧系统的物理约束模型,并提取特征参数建立一种自适应物理约束机制,生成具有复杂形态的玉米叶片模型,并且通过一系列特征参数调控和特征点约束实现一种交互式玉米叶片建模机制,最后基于偏微分方程曲面建模方法构建真实感玉米叶片三维模型,并集成开发相应软件原型系统.结果表明,本文方法以一种自适应机制有效、高效生成具有一定真实感效果的玉米叶片模型,少量参数控制的建模方式使自动化生成大规模玉米三维群体模型成为可能,为虚拟植物领域建模应用提供可用的技术参考和方法工具.
        Realistic plant modeling as well as simulation is a problem in modern agriculture and botany. It is also a hot research issue in computer science and virtual reality. Maize is an important crop in our country and world,and maize leaf modeling is a problem in virtual plant applications. This paper describes a modeling approach to drape features of maize leaf based on physical constraints. By a mass-spring-based model,we extract key parameters and construct a self-adaptive process to generate and control complex shape model by parameter adjustment and feature points constrains. Finally,by use of partial differential equations,we construct maize leaf surface models. All algorithms are implemented in a prototype software system. The experimental results show that the proposed method effectively constructs realistic maize leaf models and enables quick and automatic modeling of large size maize canopies by less parameter controls. The presented method provides a technical reference and methodological tool for virtual plant modeling applications.
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