搜索资源列表
sui
- 利用Opengl设定MFC的视图环境，三维显示三维数据，处理大量点云数据的显示旋转、平移、缩放等-use Opengl set MFC View environment, three-dimensional display of 3D data, handling a large number of point cloud data show rotation, translation, zooming, etc.
womans
- 这是采用点云数据编写的一个三维演示程序，底层是opengl设置，对要进行三维编程有参考价值-This is the point cloud data used in the preparation of a three-dimensional demonstration program, the bottom is opengl settings, the three-dimensional programming to a reference value
srcDownlodingsite
- 介绍用OpenGL实现点云处理的三维变换，我们可以通过API函数 CreateFile 获得设备句柄，再用API函数 DeviceIoControl 来实现对设备的访问获取点云的分割方法。-introduces OpenGL point cloud processing of 3D transformation, we can pass CreateFile API access to equipment handle, reuse API function DeviceIoControl ri
3DGLViewer
- 读取*.asc文件的点云数据，包括三维坐标和点云颜色，并显示-read the document *. asc point cloud data, including 3-D coordinates and point cloud color, and display
Lidar
- Lidar数据的Opengl三维显示与漫游.包括Lidar点云数据的读取,显示,漫游!无纹理!-Lidar data Opengl 3D display and roaming. Including Lidar point cloud data read , display, roaming! No texture!
demo_MLS
- 计算三维散乱点云的曲率，包括主曲率，高斯曲率和平均曲率。详细内容请见readme文件和demo文件
jianhua
- 三维店云的简化,在多个点云中需要对店云进行简化，使得后期计算量减少-this is a program of point cloud simplify
STEREO-CALIB
- opencv下的双目相机标定和图像矫正、三维重建，形成3维点云-used for process of 3D graphic by opencv stereo calibrate
凳子点云数据
- 不同三维激光扫描角度下的凳子点云数据配准数据！用于icp算法配准的学习与参考(Different three-dimensional laser scanning angle of the stool point cloud data registration data! Learning and reference for ICP algorithm registration)
可视化
- 三维点云数据可视化源码以及三个应用实例解析(point cloud source code)
滤波
- 三维点云数据的六种滤波方法以及应用实例解析(point cloud source code)
深度图像
- 三维点云数据创建深度图像以及从深度图像提取边界(point cloud range image code)
yuanzhui
- 圆锥的拟合，三维点云数据的拟合，关于曲面重构，曲面拟合，曲面的特征提取，对圆锥点云数据的一个网格化(Conic, fittingFitting of cones, fitting 3D point cloud data, surface reconstruction, surface fitting, surface feature extraction, and gridding of conical point cloud data.)
25Ddatmo
- 将三维点云投影到二维，进行动态物体检测与跟踪，适合无人车应用，值得学习(transform point cloud to grid map)
sac+icp配准
- sac粗配准 icp精配准 实现三维点云配准(sac icp point cloud registration)
matlab pine
- matlab点云三维重建，用matlab写成的，效果很好，而且速度也比较快(Matlab point cloud three-dimensional reconstruction, written in MATLAB, the effect is very good, and the speed is faster.)
Grid
- 摄影测量点云，三维激光点云进行点云特征图像提取进行格网化代码(Photogrammetric point cloud, 3D laser point cloud, point cloud feature image extraction for grid code)
ICP算法
- 三维点云配准matlab算法，简洁易懂高效，适合入门学习。
codedlight_demo_v1.0.1
- 彩色线结构光编码，三维重建恢复demo，点云处理(color line ,3D point)
激光雷达数据处理
- 文件中包含原始激光雷达数据，MATLAB读取.ubh文件、点云数据滤波、误差分析、模型验证、三维表面拟合的源代码，目前调试无误(The file contains raw lidar data. MATLAB reads the source code of.Ubh file, point cloud data filtering, error analysis, model validation and 3D surface fitting. At present, debugging is