The point data collection of the product appearance surface obtained by measuring instruments in reverse engineering is also called point cloud. Generally, the number of points obtained by using a 3D coordinate measuring machine is relatively small, and the distance between points is relatively large. It is called a sparse point cloud. ; And the point cloud obtained by using a three-dimensional laser scanner or a photographic scanner, the number of points is relatively large and dense, called a dense point cloud.
Point cloud
A point cloud is a collection of massive points at the surface characteristics of the target.
The point cloud obtained according to the laser measurement principle includes three-dimensional coordinates (XYZ) and laser reflection intensity (Intensity).
The point cloud obtained according to the principle of photogrammetry includes three-dimensional coordinates (XYZ) and color information (RGB).
The point cloud is obtained by combining the principles of laser measurement and photogrammetry, including three-dimensional coordinates (XYZ), laser reflection intensity (Intensity), and color information (RGB).
After obtaining the spatial coordinates of each sampling point on the surface of the object, a point set is obtained, which is called a "point cloud".
Point cloud format:; * .pts; * .asc; * .dat; * .stl; * .imw; * .xyz;
Sparse point clouds or dense point clouds are the basis of reverse modeling. There are many specialized reverse softwares that can edit and process point clouds, such as
When a laser beam hits the surface of an object, the reflected laser light will carry information such as orientation and distance. If the laser beam is scanned according to a certain trajectory, the reflected laser point information will be recorded while scanning. Since the scanning is extremely fine, a large number of laser points can be obtained, and a laser point cloud can be formed.
Typical dense point cloud
