论文部分内容阅读
作物三维可视化将为作物生长动态预测、栽培管理调控、作物株型设计等提供形象逼真的可视化工具,从而有力促进虚拟农业和信息农业的发展。针对小麦形态结构复杂、叶片三维可视化不易表达的问题,基于田间实测数据和NURBS曲面建模实现了小麦叶片的三维重建。首先,通过田间实验定期观测小麦形态数据(叶长、叶宽、茎叶夹角、叶片弯曲度、茎秆直径等),建立小麦叶片主脉控制点构造算法,将小麦形态数据转换为主脉控制点坐标;其次,确定所有控制点坐标和节点矢量,构建小麦叶片和叶鞘NURBS曲面;最后,借助Open GL图形库可实现小麦不同生育期的模拟模型,并实现了小麦叶片的扭曲形变。结果表明该方法选取的小麦形态数据具有代表性,重建的小麦叶片模型逼真度较高,接近实测模型,易于实现小麦生长过程的动态模拟。
Three-dimensional crop visualization will provide visual lifelike visualization tools for dynamic prediction of crop growth, regulation of cultivation and management, and plant type design so as to effectively promote the development of virtual agriculture and information agriculture. In view of the complex morphological structure of wheat and the difficulty in expressing three-dimensional visualization of the leaf, three-dimensional reconstruction of the wheat leaf was realized based on the measured field data and NURBS surface modeling. Firstly, we established the control algorithm for the main control points of wheat leaves by field observations of wheat morphology (leaf length, leaf width, angle of stems and leaves, leaf curvature, stem diameter, etc.) Control point coordinates. Secondly, the coordinates and node vectors of all control points are determined to construct the wheat leaves and sheath NURBS surfaces. Finally, with the help of the Open GL graphics library, the simulation model of wheat at different growth stages can be realized and the distortion of wheat leaves can be achieved. The results showed that the wheat morphology data selected by the method was representative. The reconstructed wheat leaf model had higher fidelity and was close to the measured model, which could easily realize the dynamic simulation of the wheat growth process.