基于三维重建的激光扫描点云数据后处理
摘 要
三维激光扫描技术的出现为树木三维模型重建提供了新的方向。对获取的树木原始点云数据进行处理是树木重建的基础。目前，树木三维模型重建的常用的一类方法是对树木点云分层，设计相关算法构建出单层点云轮廓线，层与层之间利用三角格网连接，最后建出整株树木的枝干模型。本文针对该法并围绕单树点云数据的去噪、配准及分割等主要预处理过程中的具体实现技术活方法的分类、分析和评价进行综述，最后提出树木三维重建的现存问题与未来发展的趋势。
关键词：三维激光扫描 树木模型重建 点云数据处理
Laser scanning point cloud data processing based on 3D reconstruction
ABSTRACT
The emergence of 3D laser scanning technology provides a new direction for 3D reconstruction of trees. Processing the acquired original point cloud data is the basis for tree reconstruction. At present, a commonly used method for reconstructing 3D models of trees is to stratify tree point clouds, design related algorithms to build single-layer point cloud outlines, use triangle grids between layers, and finally build the entire tree. Branch model. This article summarizes the classification, analysis and evaluation of the concrete implementation technology living methods in the main preprocessing process, including single-tree point cloud data denoising, registration, and segmentation. Finally, the existing problems and future of 3D reconstruction of trees are proposed.
Key words: 3D laser scanning tree model reconstruction point cloud data processing
1.课题研究目的和意义
