计算三维散乱点云的曲率

资 源 简 介

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

详 情 说 明

To calculate the curvature of a three-dimensional scattered point cloud, including the main curvature, Gaussian curvature, and mean curvature, there are several methods that can be used. One method is the Principal Component Analysis (PCA) method, which is widely used in the field of computer vision. Another method is the fitting method, which involves fitting a surface to the point cloud and then calculating the curvature from the surface. The fitting method can be further classified into local and global methods. Local methods calculate the curvature at each point by fitting a surface in a local neighborhood, while global methods fit a surface to the entire point cloud and then calculate the curvature.

For more details on how to calculate the curvature of a three-dimensional scattered point cloud, please refer to the readme file and demo file provided in the package. The readme file contains detailed instructions on how to use the code, while the demo file provides sample data and code for the calculation of curvature. With this information, you can easily calculate the curvature of any three-dimensional scattered point cloud.