不规则形体点云的三维重建研究

发布时间：2018-04-10 13:38

本文选题：点云 + 三维重建　；参考：《新疆大学》2013年硕士论文

【摘要】：地面激光雷达（LIDAR）作为一种先进精确的三维测量工具，所测量的数据为点云。点云数据结构简单且细节测绘精确，，可快速精确重建物体外表面。点云数据三维重建技术在三维测绘，数字城市，文物数字化，灾害处理，植被监测等领域应用越来越广泛，在制造业领域具有很大设计帮助，在工程，科学等领域的应用也不容忽视。降低三维重建算法复杂度，提高算法效率和质量，成为点云模型应用领域研究热点。尤其是针对不规则复杂体三维重建，是计算机视觉，反求工程，虚拟现实，计算机图形学等领域至今较难解决的问题。具体工作如下几方面： 1实测典型复杂不规则结构，且曲面呈复杂自由变化物体-假山，使用逆向工程软件（geomagic studio）进行数据预处理及三维重建，以典型不规则复杂体实测数据处理实验总结出不规则结构体三维重建流程； 2使用powercrust算法对几组不规则型体三维重建，观察结果，简要分析算法特征和对不同数据适用性；使用possion算法对几组相同数据的不规则型体重建，观察结果，简要分析possion算法特点及对数据的适应性； 3结合powercrust算法和possion算法特点进行三维重建，并由结果简要分析； 4模拟定型体球面点云数据，使用不同采样方式，不同稀疏度获取数据，分别使用powercrust算法，possion算法进行三维重建，由定型体不同形式的数据检验算法。对结果进行精度检验分析。
[Abstract]:As an advanced and accurate 3D measurement tool, Lidar is a point cloud.The point cloud data is simple in structure and accurate in detail mapping, so it can quickly and accurately reconstruct the outer surface of the object.The point cloud data 3D reconstruction technology is more and more widely used in the fields of 3D mapping, digital city, cultural relic digitization, disaster processing, vegetation monitoring and so on. It has great design help in the field of manufacturing, and has been used in engineering.The application of science and other fields can not be ignored.Reducing the complexity of 3D reconstruction algorithm and improving the efficiency and quality of the algorithm has become a research hotspot in the application field of point cloud model.Especially for 3D reconstruction of irregular complex objects, it is difficult to solve the problems in computer vision, reverse engineering, virtual reality, computer graphics and so on.Specific work has been carried out in the following areas:1. The typical complex irregular structures are measured, and the curved surface is complex and free change object-rockery. The data preprocessing and 3D reconstruction are carried out by using reverse engineering software named Geomagic studio.The 3D reconstruction process of irregular structures is summarized by the data processing experiments of typical irregular complex bodies.(2) using powercrust algorithm to reconstruct several groups of irregular bodies, observing the results, analyzing the characteristics of the algorithm and its applicability to different data, using the possion algorithm to build the irregular weight of several groups of the same data, and observing the results.This paper briefly analyzes the characteristics of possion algorithm and its adaptability to data.(3) combining the characteristics of powercrust algorithm and possion algorithm, the 3D reconstruction is carried out, and the results are analyzed briefly.(4) using different sampling methods and different sparsity to obtain the data, and using the powercrust algorithm to reconstruct the data respectively, and then using the different forms of data checking algorithm of the stereotyped body.The accuracy of the results is tested and analyzed.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P225.2

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