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4pcs_1.4.tar
- 基于多尺度特征提取的3D点云匹配的4PCS算法的实现代码-Multiscale 3D point cloud matching algorithm
descriptor_estimation
- 基于点云库PCL的提取多种特征描述子的方法，本例是利用Visual Studio 2013,PCL1.7.2 在64位Win7下开发的-Based on the extracted feature point cloud library PCL descr iption method, in this case is the use of Visual Studio 2013, PCL1.72 developed under the 32-bit Win7
特征线提取
- 点云数据中面的特征线的提取，也就是两个面的交线的提取(characteristic curve of point cloud data extraction)
narf_pfh_sac_Registration
- 基于特征的点云全局配准算法： NARF特征点提取+PFH描述子计算+SAC-IA位姿变换计算。(Feature based global registration algorithm for point cloud: The NARF feature points are extracted + PFH descr iptors, and the calculation of + SAC-IA position and attitude transformation is calculate
RANSAC平面提取
- 根据点云的分布特征，采用随机采样一致性算法提取平面(According to the distribution characteristics of point clouds, a random sampling consistency algorithm is used to extract the plane.)
border提取边界
- 边界识别算法，可识别点云的边界和特征边缘(Boundary Recognition Algorithms to Recognize the Boundary and Characteristic Edge of Point Cloud)
FPFH-SAC-ICP
- 特征点提取，法向量估计，fpfh描叙特征点，SAC-IA粗配准。ICP精确配准(Feature point extraction, normal vector estimation, FPFH descr iption of feature points, sac-ia rough registration. Accurate registration of ICP)