A method for 3D modeling of trees based on terrestrial LiDAR point cloud
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摘要: 为更好地获取树木三维几何结构信息, 解决高精度、高还原度的树木三维重建问题, 提出了一种基于地面激光雷达(terrestrial laser scanning, TLS)点云数据的树木三维建模方法。针对TLS扫描存在树叶间隙的遮挡, 充分考虑叶片聚集, 结合叶片和枝干的形态特征, 采用Delaunay三角网和Alpha-shape算法分别对树木叶片和枝干进行模型拟合重建, 有效克服了过去树木三维建模枝干结构不真实、器官建模不精细等问题, 较好实现了对单棵树木叶片和细小枝干的三维重建。所提方法可为森林结构参数获取和资源经营管理等提供技术支撑, 同时也能为典型树木的部件级实景三维建模提供一定的借鉴和参考作用。Abstract: To capture information about the 3D geometric structures of trees more effectively and address the challenge of high-precision, high-fidelity tree reconstruction, this study proposed a method for 3D modeling of trees based on terrestrial LiDAR point cloud. To overcome the occlusion caused by leaf gaps in TLS, this method fully considered the aggregation of leaves, as well as the morphological characteristics of both leaves and branches. By conducting the model fitting and reconstruction of tree leaves and branches using Delaunay triangulation and Alpha-shape algorithm, respectively, the proposed method effectively addressed previous issues such as unrealistic tree structures and imprecise organ modeling, thus achieving the 3D reconstruction of individual tree leaves and small branches efficiently. This study holds great significance for determining forest structural parameters and managing resources, while also offering a valuable reference for component-level real scene 3D modeling of typical trees.
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