A survey on processing of large-scale 3D point cloud

Abstract

This paper provides a comprehensive overview of the state-of-the-art for processing large-scale 3D point cloud based on optical acquisition. We first summarize the general pipeline of point cloud processing, ranging from filtering to the final reconstruction, and give further detailed introduction. On this basis we give a general insight over the previous and latest methods applying LIDAR and remote sensing techniques as well as Kinect on analysis techniques, including urban environment and cluttered indoor scene. We also focus on the various approaches of 3D laser scenes scanning. The goal of the paper is to provide a comprehensive understanding on the point cloud reconstruction methods based on 3D laser scanning techniques, and make forecasts for future research issues.