Data Reduction for Point Cloud Using Octree Coding
3D laser scanning technology as a new technology in the field of surveying and mapping, compared with traditional technology has obvious advantages, and it has become an important method to get the Three dimensional data of objects. At the same time, with the development of the scanning technology, we get more and more point cloud data. Therefore, how to streamline the cloud data, remove the invalid data and retain the necessary data has become an important research content. In this paper, we focus on the point cloud data pre processing, analyze the shortcomings of the current point cloud data reduction method, and propose a uniform and robust algorithm based on octree coding. Apply the octree coding method to divide the point cloud neighborhood space into multiple sub cubes with the specified side length, and keep the nearest point of each sub cube from the center point to realize the simplification of the point cloud.
ICIC