搜索资源列表
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.
DYBY
- 提取点云的边缘，最小二乘法拟合曲面的方法 效果特别好-To extract the edge of the point cloud, the least squares fitting method of surface effect is very good
PoissonRecon1-Teacher
- 基于点云的重构，输入是点的集合，可以重构新的模型，基于粒子系统。-Reconstruction Point Cloud-based input is a set of points, you can reconstruct the new model, based on particle system.
SimpleReconstruction
- Kinect和OpenCV实现简单的点云三角化，用最小二乘法计算法线，并实时显示获得的模型。建立在OpenFrameworks框架上，编译需要安装OpenFrameworks并放到myApps目录里，还需要Kinect SDK 1.7和OpenCV 2.4.3。-Kinect and OpenCV to achieve a simple point cloud triangulation, using the least square method to calculate the normal
Puma560
- 利用matlab计算出puma560工作空间，画出点云-Using matlab to calculate the puma560 workspace, draw a point cloud
the-calculation-of-point-cloud-datas
- 点云数据计算曲率的算法实现，即可以对通过3D扫描得到的大量点击构成的云数据进行计算，处理，来计算各点的曲率- The algorithm to calculate the curvature of the point cloud data, that can be achieved through the 3D scanning of a large number of click on the composition of the cloud data to calculate, p
minboundbox
- 求取空间点云的最小包围盒体积，可以得到8个角点的坐标-Obtaining spatial point cloud minimum bounding box size, you can get coordinates eight corner points
revised-morphological-filtering
- 文章是关于改进的渐进式点云滤波，文章详细介绍了改进的步骤，主要是利用克里金插值进行坡度计算，如果大于高差和坡度的差值大于阈值，则继续做滤波处理-Article is about incremental improvements point cloud filtering, the article details the steps for improvement, mainly using kriging interpolation slope calculation, if the diffe
normalestimation
- 使用L0对点云法向进行重新估计,其中法向已经使用meshlab获得。-L0 using the point cloud to re-estimation method, which method has been used to obtain meshlab.
txt2las
- TXT2LAS，命令模式下转换，能将点云坐标转换成通用的las格式文件-TXT2LAS， Converts LIDAR data a standard ASCII format into the more efficient binary LAS/LAZ/BIN representations.
PoleLikeObjDet
- 圆拟合算法，用于从扫描线点云数据中拟合圆弧，从而提取出弧段点集。-The circular fitting algorithm is used to fit the arc the point cloud data of the scan line to extract the set of arc points.
getcloudEdge
- 在组点云中，选择好出一部份点云，并进行其边界的提取，然后显示出来-When some points the cloudy,and then get its points cloud edge
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
project_inliers
- 点云库检测代码，主要是为了检测点云库是否安装成功-Point Cloud Library detection code, mainly in order to detect the point cloud library is installed successfully
pclSourceCode
- 点云库PCL学习教程书籍各章节源代码朱德海主编-pcl source code
GaussianSmoothing3D-master
- 高斯滤波，对点云数据进行滤波，去除噪点，效果非常好，大家下载-Gaussian filtering, the point cloud data filtering to remove noise, the effect is very good, we try to download
source
- 如何使用正态分布对点云进行配准，使用标准最优化技术来确定两点云的最优匹配。-How to use normal distribution to point cloud registration, using standard optimization techniques to determine the optimal matching of two points cloud
lidar
- 读取las点云，用c#语言，解压没有密码-Read las point cloud
nonrigidICP
- 非刚性点云数据的ICP配准,matalb文件-nonrigid construct
findkneighbor
- 实现散乱点云的k邻域搜索，可以直接执行.txt格式的文件-To achieve scattered point cloud k neighborhood search, you can directly . Txt format files