“点云”数据的预处理和曲面重建技术是反求工程的关键技术，是产品CAD模型建立的前提。
Preprocessing of "points cloud" data and surface reconstruction are the critical technology of reverse engineering and are the premises of building product CAD model.
提出了一种新的基于神经网络的点云数据重构CAD光顺造型的新算法。
The paper presents a new approach to CAD model reconstruction from cloud datas using neural networks (NN).
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
点云模型由于具备表示三维细节能力强、存储简单等特点，成为CAD／CG最常用的三维物体表示模型之一。
With its characteristics such as strong detailing ability, and simple storage, 3D point cloud model has been one of the most commonly used three-dimensional objects in CAD/CG.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
Virtual Architecture is defined as the 3D model of building, which employ both CAD utensils and Graphics technology.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
Virtual Architecture is defined as the 3D model of building, which employ both CAD utensils and Graphics technology.
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