郭 浩, 戈振扬, 葛 勇, 李 明, 李 鹏, 刘 静, 林文如. 基于点云的作物地下变态根可视化模拟[J]. 农业工程学报, 2011, 27(6): 214-218.
    引用本文: 郭 浩, 戈振扬, 葛 勇, 李 明, 李 鹏, 刘 静, 林文如. 基于点云的作物地下变态根可视化模拟[J]. 农业工程学报, 2011, 27(6): 214-218.
    Guo Hao, Ge Zhenyang, Ge Yong, Li Ming, Li Peng, Liu Jing, Lin Wenru. Visual simulation of underground modified roots of crops based on point clouds[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(6): 214-218.
    Citation: Guo Hao, Ge Zhenyang, Ge Yong, Li Ming, Li Peng, Liu Jing, Lin Wenru. Visual simulation of underground modified roots of crops based on point clouds[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(6): 214-218.

    基于点云的作物地下变态根可视化模拟

    Visual simulation of underground modified roots of crops based on point clouds

    • 摘要: 为研究作物地下变态根的可视化模拟,以肉质直根和块根为模拟对象,采用体着色三维重建的方法获取变态根点云,提出并实现了去除变态根点云噪声、离群点和修补孔洞的预处理通道,并对预处理后的点云进行曲面重建,构建曲面模型,进而提取变态根的构型参数,最后对重建后的曲面模型进行可视化模拟。以胡萝卜和马铃薯为试验对象进行了可视化模拟,结果表明,去除变态根点云噪声、离群点和修补孔洞的预处理通道,能有效得到完整、均匀和光顺的点云模型,从曲面模型提取的体积误差小于10%,利用重建得到的曲面模型可平滑逼真的可视化变态根形态。该文研究为植物变态根构型模拟提供了一种新方法。

       

      Abstract: In order to simulate the underground modified root of crops visually, taking fleshy tap root and tuberous root as the simulation objects, the point clouds of modified root were got with three-dimensional reconstruction method based on voxel coloring, and the preprocessing pipeline for filling the holes and eliminating acoustical noise and outlier in point clouds was put forward and implemented. The surface reconstruction was finished on the basis of point clouds that had been preprocessed. The architectural parameter of modified root was extracted from the reconstructed mesh model, and then the visual simulation of the reconstructed mesh was implemented. Carrot and potato were taken as the experimental subjects for visual simulation. The results indicate that the integral, uniform distributed and smooth point clouds model can be obtained by the preprocessing pipeline with the function of eliminating the noise and outlier in point clouds, and filling the holes. Error of volume extracted from the mesh model is less than 10%. The shape of the modified root can be visualized smoothly and vividly with the mesh model from surface reconstruction. The study can provide a new method for the research on simulating the plant modified root.

       

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