Abstract:

Aiming at the problem of overdense and redundant information of scattered point cloud data,this paper proposes a fast compression algorithm of scattered point cloud based on adaptive slice and vector angle method,which uses slicing technique to stratify point cloud into a slice point cloud.Then,the vector angle method is used to simplify the data for each point cloud.This paper uses this algorithm to carry out experimental research,discusses the influence of the shortest distance and angle parameters on the compression result,and verifies the compression effect by constructing the mesh model.The result shows the algorithm has better compression effect on complex target features realizing fast compression of point cloud. In the meantime,there is no distortion due to excessive compression.The algorithm can adapt the adaptive reservation to reflect the target feature and the detail point,and realize the rapid compression of point cloud.

Key words: vector-angle method, adaptive slice, scattered point cloud, rapid compression