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- point cloud data reduction 点云精简
- Geomagic Qualify processes point cloud data from a 3D scanner. Geomagic Qualify可以处理从3D扫描仪里得到的点云数据。
- Direct fitting surface with point cloud data obtained from autobody scanning is difficult. 点云数据三角化处理是逆向工程及快速原型领域中不可缺少的环节。
- This method has been validated through different examples, using the autobody point cloud data obtained from the ATOS measurement equipment. 并结合ATOS测量设备得到的车身曲面点云数据，给出不同的实例，证明了该方法的有效性。
- Key of the data simplification technology is while at the same time of simplifying the data to reserve the original characteristics of point cloud data to the largest extent. 摘要数据精简技术的关键是在精简数据的同时，最大限度地保留点云数据的原有特征。
- In order to generate a surface model from point cloud data in reverse engineering, it's very important for reconstructing surface to process point cloud. 摘要逆向工程中点云数据处理是重构表面模型的一个很重要的步骤。
- Methods: We Selected a mandibular three-unit fixed partial denture model with abutment roots to undergo three-dimensional laser scanning and get point cloud data. 方法：选择带有牙根的下颌固定义齿模型进行三维激光扫描，获得表面三维点云数据，经过软件处理形成三维有限元模型。
- A new method of adaptive slicing to point cloud Based on Bar was presented,it is used in handling point cloud data gleaned by laser scanner equipment and succeeding RPM. 针对由激光三维扫描设备获取的点云数据及其后续RPM操作,提出基于栅带的自由曲面点云自适应分层方法。
- Objective To generate an optimal surface model from external nasal point cloud data for constructing the visible nose and restoring the nasal defect patients by CAD/CAM techniques. 目的构建解剖特征清晰的三维外鼻形态表面模型,为建造鼻缺损修复计算机辅助设计/计算机辅助制作系统(computer aided design/computer aided manufacture,CAD/cam)用于可视化数字鼻型库奠定基础。
- The experiments for registering overlapping point cloud data sets collected by a ground-based LiDAR system demonstrates the satisfactory data registration result based on the proposed scheme. 本研究以地面光达多测站之点云资料以前述方法进行套合试验，证实以三维直线特徵进行光达点云资料套合之可行性。
- Alignment of Point Cloud Data of Car Seal 汽车密封条点云数据与截面数据的对齐
- Surface Reconstruction of Car Seal Based on Point Cloud Data 基于点云数据的汽车密封条的曲面重构
- The curve fitting method of point cloud data in reverse engineering 反求工程中点云数据的曲线拟合技术
- Research of point cloud data compression in surface reconstruction 曲面重构中点云数据的压缩处理研究
- This process is called data reduction. 这个过程叫做数据处理。
- Segmentation method for point cloud data based on CCD image 基于CCD图像的点云区域分割方法
- Extract Buildings Quickly from Lidar Point Cloud Data Lidar点云数据中建筑物的快速提取
- A Point Cloud Data Compression Approach Based on Curve Fitting and Sampling 一种基于曲线拟合与采样的点云数据压缩方法
- The computation results show that parallel genetic algorithm is fit for data reduction problem with large scale and large data sample point. 计算结果表明,并行遗传算法适合于求解问题规模较大及大数据样本点的数据约简问题。
- Real-time Render Large Amount of LIDAR Point Clouds Data 机载激光雷达点云数据的实时渲染
