搜索资源列表
insight3d_0_3_2
- insight3d lets you create 3D models from photographs. You give it a series of photos of a real scene (e.g., of a building), it automatically matches them and then calculates positions in space from which each photo has been taken (plus camera s o
Points
- 点云读取,这是VC环境下对点云的显示，利用了opengl这个工具-pointcloud with big capacity with the tool of opengl in 3D enbironment. It s a very good program,you can t miss it.what are you waiting for,just move!
PointCloud
- OpenGL读取点云显示的程序 实现平移旋转缩放 -Show Point Cloud with OpenGL
pointCloud2mesh
- 由点云数据（point cloud）生成网格（mesh）的matlab实现-Converts a pointcloud (unordered vertices) to a mesh of triangles by connecting the nearest 3 points and calculates the normal of each vertex and triangle. Also finds the neighboring triangles of each vertex and
PointCloud
- 一种基于栅格划分的海量散乱点云的K邻域搜索-Based on the grid by Massive Scattered Points K-neighborhood search
PointCloud
- 实现读取DEM点云数据，效果很好，可以运行-Read the DEM point cloud data, the effect is very good, you can run
Display3dRMX
- Project Example with GTK graphical user interface, which include a 3D enviroment to make some test (import pointcloud, stl, generating geometries...etc)
pointcloud-_visualize
- 基于PCL点云的可视化程序 入门必备 点云数据是自行创建的立方体点云 读者可以自行替换成需要显示的程序-Point cloud visualization program Getting the necessary Point cloud point cloud data is self-created cube Readers can replace their own program needs to be displayed
CPD
- 点云配准算法CPD，可搜索相关论文，有matlab版，此为C++改编版，不完善，慎下。coherent pointcloud alignment
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。
3d-pointcloud-view
- 基于MATLAB的三维彩色点云的显示，真彩色，支持.ply格式，内附.ply格式的点云，-MATLAB 3D Point Cloud Processing
PointCloud_show
- 三维点云 PCA降维(3D pointcloud PCA)
mpu_oct
- 实现点云数据的八叉树均等剖分（八叉树，一个立方体等分为八份，并可以持续的细分下去，虽然每个节点都能分出八个叉，但形象，且等分空间，简单容易理解。），并利用MPU实现数据的三角化，可视化等。(MPU, pointcloud, octree)