Before handling the reconstruction of human model based on 3d scanning data, data reduction was used.
以三维扫描数据为基础进行的人体重构，需要先进行数据精简。
There is noise and defective data on the 3d scanning point cloud. A robust mesh reconstruction algorithm is proposed.
由于3维扫描点云通常存在噪音和缺失数据，提出了一种鲁棒的点云网格重建算法。
Now the existing direct volume CT methods face two difficulties:first, how to get the projection data to reconstruct the 3D image exactly, including whether the scanning structure is practical;
目前直接体积CT主要存在两大困难：一是如何获得三维图像精确重建所需的投影数据，包括扫描方式的可实现性；
After pre processing, the technique of direct 3d interpolation for rotational scanning images was used to convert the original rotary scanning images into regular volume data.
然后，根据心电及角度信号提取正确原始切片图像，进行预处理，并利用三维直接匹配插值方法对旋转扫描超声心动图像进行插值，获得规则体数据。
Spatial 3d point cloud can be quickly captured on object surface by laser scanning, however its data volume is huge.
三维激光扫描获得的点云数据，其数据量比较大。
The object of post-scanning data processing is to reconstruct surface models from 3D point clouds.
后扫描数据处理的物体将重建来自3D立体点云的表面的模型。
This paper presents a 3d laser scanning rapid data acquisition system with the laser sensor and POS, which is designed for 3d scanning the both sides of railway.
本文给出一种利用激光传感器与导航POS组成的车载三维激光数据快速采集系统，对铁道两侧的地形、地物进行三维扫描。
Meanwhile, the scanning data obtained by using this robot-3D scanner system can be used for industrial machining, which can realize the integration of on-line measurement and machining procedures.
同时，将该机器人-三维扫描系统应用于工业加工中，可以实现在线测量、加工一体化。
First, we validated the feasibility of the calibration method by simulated data, and then, we carried out experiments on the platform of 3d laser scanning system.
我们首先通过数值仿真验证了标定方法的可行性，接着在本文的三维激光测量系统平台上进行了实验。
First, we validated the feasibility of the calibration method by simulated data, and then, we carried out experiments on the platform of 3d laser scanning system.
我们首先通过数值仿真验证了标定方法的可行性，接着在本文的三维激光测量系统平台上进行了实验。
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