Point Cloud Data Surface Reconstruction Algorithm And Research

In recent years, with the overall development of society, urban modeling、human interaction, mobile robots, medicine, reverse engineering and other industries have been booming, has a very broad prospects for development, point cloud data surface reconstruction is one of the research focus of this article, The research focused on the point cloud data surface reconstruction methods. Details are as follows: 1、 the analysis of the steps of point cloud data types and point cloud data processing. Have a detailed description of the five steps of four kinds of point cloud types and point cloud data processing, and gives the normal vector estimation and curvature estimation method for surface reconstruction from point cloud data below provides the basic knowledge. 2 、 the reconstruction methods of point cloud data surface. Introduced the five classification of surface reconstruction method, analysis implicit surface reconstruction based on radial basis functions ellipsoid constraint-based surface reconstruction region growing method and the advantages and disadvantages of surface reconstruction based on the greedy algorithm, and write code and make experiments of surface reconstruction based on greedy algorithm, gives the main code and experimental results. 3、 surface reconstruction based on poisson algorithm. With related theory, proposed a surface reconstruction based on poisson algorithm, this approach transformed point set surface reconstruction into a spatial Poisson problem, use the implicit function framework to deal with surface reconstruction, calculate a three-dimensional indication function, then can get a suitable surface reconstruction by extracting isosurface, and gives a theoretical basis poisson algorithm and implementation process. Finally, encoding the poisson algorithm and make experiments with it, obtained experimental results.