Point Cloud Plane Visualization by Using Level Image

Abstract

This paper presents the point cloud plane visualization by using the level image. A created level image indicates the point presence in a space at a specific level. By knowledge its origin position in a space, the physical pixel size and the detected rotation angle we can easily visualize planes in an analyzed point cloud. The connection of image processing methods with the physical measurement points offers besides the visualization also obtaining important properties about a scanned space. The described algorithm includes also a color point cloud visualization. Presented results showing the level images advantages for point clouds processing.