搜索资源列表
findPointNormals
- 基于kd-tree搜索算法,利用局部邻域的平面拟合,检测三维点云数据的法线方向- Estimates the normals of a sparse set of n 3d points by using a set of the closest neighbours to approximate a plane.
icp.m
- 三维点云配准,icp原代码,亲测有效,适合初学者学习。-3D point cloud registration, icp source code, effective pro-test, suitable for beginners to learn.
ply_data_file
- ply格式三维点云数据,有多个点云数据模型,用于点云数据处理及显示-ply 3D data file
ConsoleApplication12
- kinect 2.0扫描物体生成三维点云并保存到TXT文件中。-Kinect2.0 scan device object generated 3 d point cloud and save to TXT file
ConsoleApplication1
- icp算法三维点云数据配准方法,配准算法的研究对于三维数字处理技术领域有着非 常重要的意义。 -Three dimensional point cloud data registration method based on ICP algorithm, the research of registration algorithm has a very important significance in the field of 3D digital processing technology.
MFC_CloudPoint20160531
- 基于OpenGL的三维点云数据显示,可以选择浏览文件读入点云市局,鼠标点击、拖动和滑动可实现三维图形的旋转和缩放,最大可读入一百万个点,点云数据存在txt文件中,数据格式分别为x、y、z的坐标,具体以压缩文件中的3dcloud.txt为例-OpenGL-based 3D point cloud data show, you can browse the file is read into the point cloud PUC, mouse click, drag and swipe reali
laser-kinect-pointcloud-register-icp
- 针对三维重建中的点云配准问题,提出一种基于点云特征的自动配准算法。利用微软Kinect传感器采集物 体的多视角深度图像,提取目标区域并转化为三维点云。对点云进行滤波并估计快速点特征直方图特征,结合双向 快速近似最近邻搜索算法得到初始对应点集,并使用随机采样一致性算法确定最终对应点集。根据奇异值分解法 求出点云的变换矩阵初始值,在初始配准的基础上运用迭代最近点算法做精细配准。实验结果表明,该配准方法既 保证了三维点云的配准质量,又降低了计算复杂度,具有较高的可操作性和鲁棒性。
test_pcd
- 三维点云数据测试样本,可以使用MATLAB进行编程-Three dimensional point cloud data test samples, you can use MATLAB to program
matlab
- 使用matlab实现三维建模源码,效果非常好,可以用于三维点云数据的建模-Using MATLAB to achieve three-dimensional modeling source code, the effect is very good, can be used for modeling 3D point cloud data
kd-tree.cpp
- 三维点云配准kd-tree搜索算法,用于特征点的搜索匹配-3 d point cloud registration kd- tree search algorithm, is used to search of feature point matching
OpenGLcloudpoint
- 三维点云显示,旋转,移动等等,jiyu OPENGL bijiaoyouyong -3D point
test
- 一个基于OPEN GL的三维点云数据处理程序,旋转,放大,缩小,平移等等,效果良好-An OPEN GL based on the three-dimensional point cloud data processing procedures, rotation, amplification, reduction, translation, and so on, with good results
main
- 通过kinect摄像头获取物体表面的三维点云,代码通过点云数据库pcl处理。-get cloud points by kinect
cloudRead
- 读取点云,并设置colormap,形成rgb图像的三维点云离散点-Point cloud reads and displays it as an RGB image
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
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.)