搜索资源列表
CPP
- 利用点云数据拟合圆柱本文档通过对三维点云的圆柱拟合，得到圆柱的半径、圆柱轴线单位方向向量和轴线起始位置三个主要参数。-Use of point cloud data fitting cylindrical this document through the three dimensional point cloud cylinder fitting, get the radius of the cylinder, cylinder axis unit axis direction vector
pcl可视化程序
- 本程序为c++程序，三维点云数据可视化程序，程序运行为pcl在vs2015平台下。
KD_tree
- K_D树，python代码，对输入的三维点云数据(x,y,z)建立K_D，并返回前序遍历结果-K_D tree, Python code K_D establish three-dimensional point cloud data (x, y, z) input, and returns the result of the previous preorder
PointCloud_show
- 三维点云 PCA降维(3D pointcloud PCA)
rotate
- 实现三维点云的平移旋转，使两片点云移到中心店，方便后续计算(Realize the rotation of 3D point cloud)
曲面拟合01
- 最小二乘MATLAB程序，适合用于三维点云的最小二乘拟合。功能很强大！(Least squares MATLAB procedures, suitable for three-dimensional point cloud least square fitting. Powerful!)
ICPmatlab
- 三维点云配准，ICP迭代最近点法，用于两组数据之间的配准。(Three dimensional point cloud registration, ICP iteration, nearest point method.)
基于VTk的点云显示
- 基于VTk的点云显示，构网（Delaunay Tin，包含二维，三维，及TEN）。附有详细的代码注释，也有实例数据。-(VTk based point cloud display (Delaunay, Tin, including 2D, 3D, and TEN). With detailed code notes, there are examples of data. -)
PoissonRecon.x64
- Poissom Recon x64 三维点云重建(3D point cloud reconstruction)
modeling_3d-master
- 基于opencv与pcl的点云采集及三维重建(Point cloud grabber and 3D construction based on OpenCV and PCL)
read_point_cloud
- 现在越来越多的人使用三维点云数据，但刚开始时，点云数据在MATLAB上如何处理还是难题，因此，这个简短的MATLAB主要写了如何读取三维点云数据。(Read 3D point cloud data)
ClassificationPointClouds-master
- 三维场景理解，用来识别点云中的物体，用来检测。(Three dimensional scene understanding, used to identify objects in the cloud, used to detect.)
point_cloud_reduction
- 自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))
fpfhtest
- 快速点特征直方图，用于计算三维点云特征，法矢量以及曲率半径等。(fast point feature historgam)
point3d
- 直接运行TestMyCrust.m, 读取点云txt,或者直接加载mat文件 运行需要几分钟，耐心等待 完成后运行trianglenormal.m, 生成三角面片的法向量 运行完成得到tri.txt（组成三角面片的点的编号信息）,trinormal.txt(每个三角面片法向量数值)，diandian.txt(每个点云信息) 然后将三个数据当做stl_gen.exe的输入文件，得到trisuface.stl文件(run TestMyCrust.m, read point cloud fil
stl_gen
- 由点云数据，三角面片法向量 生成3d打印的stl文件(obtain the stl file which used to 3D printing, run from point cloud, normal vector files)
3DSCAN
- 利用结构光对物体进行扫描，得到物体的点云数据(The object is scanned by structured light, and the point cloud data of the object is obtained)
21bounding-box-algorithm
- 三维点云包围盒精简算法，内包含点云数据与处理结果，直观可用，效果良好。(Three dimensional point cloud bounding box reduction algorithm, which contains point cloud data and processing results, is intuitive and available, and the effect is good.)
passthrough-code
- 三维点云直通滤波器代码，使用环境为Ubuntu+pcl，代码处理点云数据格式为.pcd,代码中包含示例点云文件(Point cloud passthrough filtering)
Vector3D
- 三维点数据运算，用于点云数据中相关点的计算，包括加减乘除等运算(The 3D point data calculation, used to calculate the point cloud data points, including add, subtract, multiply and divide operations)