Minimum distance from Matlab point cloud to convex hull
In computer vision and geometry processing, a point cloud is a data structure that represents a discrete set of points in three-dimensional space. Whereas a convex hull is the smallest convex polygon that encloses these points. This article will discuss how to use MATLAB to calculate the minimum distance from the point cloud to the convex hull, and provide the corresponding source code.
First, we need to get the point cloud data from the input. Suppose we have a matrix P with n rows and 3 columns, and each row represents the coordinates of a point. We can import data with the following code:
P = load('point_cloud.txt');
Next, we need to calculate the convex hull of the point cloud data. MATLAB provides convhullfunctions to compute the convex hull for a given set of points. Use the following code to calculate the vertex indices of the convex hull:
K = convhull(P(:,