1.
Reduction Algorithm for Scattered Points Based on Model Surface Analysis
基于型面特征的三维散乱点云精简算法
2.
Study on Data Registration and Reduction for 3D Point Clouds
三维点云数据拼接与精简技术的研究
3.
A Study of Multi-view Point Cloud Merging and Data Reduction
多视点云数据的拼合与精简技术研究
4.
Algorithm of Scattered Point Cloud Data Reduction Based on Non-uniform Subdivision
基于非均匀细分的散乱点云数据精简算法
5.
Curvature Estimation of Scattered-point Cloud Data Based on Bounding Box Method
基于包围盒法的散乱点云数据的曲率精简
6.
Research on data simplification for point cloud in surface reconstruction
用于点云曲面重构的数据精简方法研究
7.
Reduction and Surface Reconstruction of Point Cloud Data of Automotive Seat Based on B-spline
基于B样条的汽车座椅点云数据的精简及曲面重构
8.
Approaching the Accurate Management of Qin Dynasty from Yunmeng Qinjian;
从云梦秦简看秦国经济的精确化管理
9.
Point Cloud Feature Extraction and Simplification in Geographic Environment;
地理场景中点云特征提取与简化研究
10.
The Simplification of Scattered Point Cloud and Triangular Mesh Surface Reconstruction
离散点云的简化及三角网格曲面重构
11.
Registration of unorganized point clouds by inheriting and optimizing algorithm
用继承与优化算法精密拼接无序点云
12.
Research and Implement on the Algorithm of Point Cloud Denoising and Simplification
点云数据的光顺去噪与简化技术的研究与实现
13.
Simplification and Implementation of Scattered Point Cloud Based on the Density in k-Nearest Neighbors
基于k-邻域密度的离散点云简化算法与实现
14.
It has the virtues of brachylogy, rigor and precise.
它具有简明、精确、无歧义的优点。
15.
Surface Modeling and Precision Evaluation for Wrap-around Models Based on Scattered Points;
基于散乱点云的卷曲模型建模和精度评价
16.
A Fine Registration Method for 3D Point Clouds in Reverse Engineering
逆向工程中三维点云数据精确拼接方法
17.
Accuracy Check and Analysis of LIDAR Elevation Data
机载LIDAR点云高程数据精度检核及误差来源分析
18.
An Approach on Building Reconstruction from Images,Data Clouds and Vector Maps
利用航空影像、点云数据和矢量图进行简单房屋三维重建方法研究