A Method for Detecting Defects in Point Clouds

Abstract

In recent years, 3D-scanners have been used in a wide field, because 3D shapes can be easily created using them. However, Point Clouds created by using a 3D-scanner contain many defects due to occlusion or reflectance of the models. We propose a method of detecting defects for evaluation of Point Clouds. First, input Point Clouds are projected onto several 2D-textures. We extract many defects in the 2D-textures by applying edge detection. Second, we extract the defects by applying its results to input Point Clouds.