搜索资源列表
rigid3D
- 3维坐标变换应用于3维图像配准 要下的快啊
mitk-2.0-beta-win-bin
- 用来做医疗图像三维重建、二维分割和配准的库开发包，很好用，只需要把相关的类找到，建立一个pipeline即可，功能很强大的。
3DMed_OpenSource
- 这是一个3D医学图像处理软件，可以对图像进行分割和配准，对于三维和二维的医学图像都可以使用。-This is a 3D medical image processing software, you can image segmentation and registration for three-dimensional and two-dimensional medical images can be used.
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
Calibration-and-reconstruction
- 通过两个摄像机的配准，实现三维空间点的重建。-Registration through two cameras to achieve the reconstruction of three-dimensional space points.
7941943TPS-RPM
- 使用薄板样条函数，完成点对的非刚体配准方法。此类提供算法的封装。-Use of Thin plate spline, the completion point of the non-rigid registration method. Such packages provide the algorithm.-
SURF
- 实现基于2幅二维图像的目标的三维重构，相机定标，图像配准-The task of fi nding correspondences between two images of the same scene or object
3DMed_Code
- 3Dmed系统中主要提供了医学影像数据I/O、二维操作、医学影像分割、表面绘制、体绘制、虚拟切割、三维测量及医学图像配准等基本功能-3Dmed system mainly provides the medical image data I/O, two-dimensional operation, medical image segmentation, surface rendering, volume rendering, virtual Cutting, three-dimension
icp
- 三维点云配准ICP算法 激光点晕数据处理-ICP Algorithm
IterativeClosestPointsTransform
- vtk里面关于ICP点云配准的程序，调试可用。-vtk inside on ICP point cloud registration procedures, debugging is available.
itk_MFC
- 二维医学图像配准。注意算法哦。界面用的MFC单文档。显示用的api-Two-dimensional medical image registration. Note algorithm oh. Interface using MFC single document. Display the api
icpcode
- 迭代最近点点云配准算法的matlab实现，最经典的算法-Iterative Closest little cloud registration algorithm matlab realize, the most classical algorithm
SVD_Registration
- 奇异值分解的点云配准，输入点云的源坐标和目标坐标，计算期望的旋转矩阵和平移向量。-Singular value decomposition point cloud registration, input the source and target point cloud coordinates to calculate the expected rotation matrix and translation vector.
Quater_Registration
- 四元数分解的点云配准，输入点云的源坐标和目标坐标，计算期望的旋转矩阵和平移向量。-Quaternion decomposition point cloud registration, input the source and target point cloud coordinates to calculate the expected rotation matrix and translation vector.
icp
- ICP算法实现点云配准,在pcl点云库课本第13章第二节实例的基础上进行了改进，实现了更精确配准-ICP algorithm for point cloud registration, in Chapter 13, Section instance pcl basis point cloud library textbook has been improved to achieve a more accurate registration
demon_registration(2Da3D)
- demons配准程序，包括2维的配准程序和3维的配准程序-demons registration,including 2d and 3d version
ICP算法实现
- 用于点云配准的实现，具体来说是ICP算法，配准效果好(ICP algorithm is realized, and the registration effect is good)
srcFPFH
- 通过FPFH特征将点云进行配准，点云为部分重合的点云，并且有噪声(registration with FPFH)
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)
BuildOctree
- 为点云数据建立，八叉树结构。可用于点云配准、识别、重建。(Building octree structure for point cloud data)