摘要
树木生长过程中受到病虫害或生长空腐与空洞等影响会造成形貌缺陷,如何实现树木形貌无损检测数据被精确地自动逆向数字化建模成为现代林木智能无损检测诊疗的核心问题.利用PCL库点云数据处理库函数平台编程实现三维扫描树木形貌点云逆向建模,提出了三点对齐点云数据处理函数法,将三维扫描技术获得的原始树木形貌点云进行了粗配准;运用迭代最近点算法完成树木的精配准,得到了精确的树木形貌点云模型;对点云模型进行了基于同名点对配准的实验验证,并对检测效果进行分析.该研究提高了三维扫描技术的树木无损检测点云逆向构建树木形貌三维数字化模型的速度与精准度.
In the process of tree growth,diseases and insect pests or growth air decay will cause morphological defects.How to achieve accurate automatic reverse digital modeling of tree topography non-destructive testing data has become the core problem of modern forest intelligent non-destructive testing diagnosis and treatment.Therefore,PCL point cloud processing library function platform was used to program the reverse modeling of 3D scanning tree topography point cloud,and the three-point alignment point cloud data processing function method was proposed,and the original tree topography point cloud obtained by 3D scanning technology was coarse registered.The iterative nearest point algorithm was implemented to complete the precise registration of trees,and an accurate point cloud model of tree morphology was obtained.The point cloud model is verified experimentally based on the same name point pair registration,and the detection effect of the obtained model is analyzed.It improves the efficiency of constructing 3D digital model of tree topography by using 3D scanning technology to obtain NDT point cloud.
作者
姜淑凤
贺月灿
JIANG Shufeng;HE Yuecan(School of Mechanics and Electronics Engineering,Qiqihar University,Qiqihar 161006,China)
出处
《高师理科学刊》
2024年第7期42-51,共10页
Journal of Science of Teachers＇College and University
基金
黑龙江省省属高等学校基本科研业务费科研项目(145109406)。
关键词
树木形貌三维扫描
PCL点云库
三点对齐
点云配准
3D tree scanning
PCL point cloud library
three-point alignment
point cloud registration
作者简介
姜淑凤(1979-),女,黑龙江齐齐哈尔人,教授,博士,从事逆向工程与数字化设计制造方法研究.E-mail:474118867@qq.com;通信作者:贺月灿(1997-),女,黑龙江齐齐哈尔人,在读硕士研究生,从事逆向工程与数字化设计制造方法研究.E-mail:1757416146@qq.com。
