Three-dimensional reconstruction of tree morphology by point cloud three-point transformation and GICP registration
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.
3D tree scanningPCL point cloud librarythree-point alignmentpoint cloud registration