搜索资源列表
OpenGLpointclouds
- OpenGL环境下点云模型的显示变换，介绍一种标准的3D点云模型OBJ文件的特点和基本结构,在VC++6.0平台下结合OpenGL完成了OBJ格式文件的读取和点云模型的三维显示、旋转、平移、缩放变换功能.实验结果表明,利用OpenGL开发的程序可以高效实时地实现点云的各种操作.-OpenGL environment, the display of point cloud model of transformation to introduce a standard 3D point cloud
CPoint3DCloud
- 利用VC++并结合OPENGL实现三维点云的显示并可以用鼠标转动从各个角度观察-To utilize VC++ combined OPENGL 3D point cloud display can be rotated with the mouse from all angles
ICP
- ICP算法,主要用于三维点云数据的配准，最近点迭代算法，可以收敛到局部最小-registration of point cloud data,the iterated close point algorithm
3D-reconstructiong-in-Matlab
- 本程序用于绘制三维图形，可以对地面激光点云数据进行三维建模。-The procedure used to draw three-dimensional graphics, you can on the ground laser point cloud data for three-dimensional modeling.
3dpointmedianfilter
- 通过vc++实现三维人体点云的中值滤波程序，-Vc++ to achieve through the body three-dimensional point cloud of the median filtering process,
3D-construct_-point-cloud-in-Matlab
- 此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。-The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
Survey-on-normal-estimation
- 三维点云法向量估计综述，由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一-Point clouds are becoming more and more common for the representation of 3D geometry models because of its advantages over mesh models
bodymodel
- 基于OpenGL的三维人体点云模型的显示。-OpenGL-based three-dimensional point cloud model of the human body display.
reconstruct
- 一个非常好的三维散乱点云重构论文，其中以标准斯坦福数据为例。-A very good point cloud of three-dimensional reconstruction of scattered papers, of which Stanford data standards as an example.
ReadBundleOutFile
- 分析读取Bundler输出的.txt,.key文件，对三维点云sift特征建立KD树索引。-Parsing Bundler Output including .txt& .key Files to construct a KD tree Index.
ICP
- 三维图像配准算法（ICP）,内含MATLAB文件icp.m。可以实现三维坐标的转换。-icp.m
MyMFCPoint
- VTK+MFC单文档下读取点云数据，并且实现三维重建。是一个很不错的学习VTK的示例程序。-VTK+ MFC single document to read point cloud data, and the realization of three-dimensional reconstruction. Is a very good example of procedural learning VTK
read_point_clouds1
- 利用Visual C++读取点云数据用于曲面的三维重建-Visual C++ to read the use of point cloud data for three-dimensional surface reconstruction
ResearchontheProcessingofNon-contactedThree-dimens
- :讨论了非接触三维扫描测量数据处理中的噪声点剔除、失真点的查找、数据精简和平滑处 理以及点云数据的拼合对齐等诸多问题,并通过一个简单的实例介绍了非接触三维扫描测量数 据的处理技巧.-This paper discusses several problems in non-contacted three- dimensional scanning measurement data processing , such as noise points deleting , distorti
MultilevelStreamingfoOutofCoreSurfaceReconstructio
- 对学习三维重建VC编程的有很好的作用，对三维点云的构网有很大的作用-Computer image study
delaunay.tar
- 在linux下的三维点云构网，是学习构网的基础，同时在Linux下-The triangulation mesh
Affine_Transform_Pts
- 自己写的IDL代码，对三维点云做三维仿射空间变换-self-made IDL code for applying affine transformation to 3D point set
gridfit
- 此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 -The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
google-map-training
- 此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 -The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
1
- 多站拼接后三维激光扫描点云的消冗处理,多站拼接后三维激光扫描点云的消冗处理-After more than three-dimensional laser scanning station splicing point cloud processing eliminate redundant, multi-dimensional laser scanning station splicing eliminate redundant processing point cloud