Color Transfer of 3D Point Clouds For XR Applications

PubDate: January 2022

Teams: Technical University of Berlin

Writers: Herbert Potechius; Thomas Sikora; Sebastian Knorr

PDF: Color Transfer of 3D Point Clouds For XR Applications

Abstract

In this paper, we analyse and compare four different color transfer algorithms, which were originally developed for 2D images, for 3D point clouds. In particular, we transfer the color distribution of a given reference 3D point cloud to a source 3D point cloud in order to change the illumination of the scene. Color transfer of 3D models might become an important task in AR and VR applications where e.g., an existing 3D model needs to be updated in real-time according to scene changes like displaced objects and illumination changes. In order to better compare the results of the color transfer algorithms, we created a data set of 3D point clouds consisting of reconstructions of an indoor scene under different lighting conditions, and applied two comparison methods for an objective evaluation, namely histogram comparison and voxel comparison, which will be described in detail in this paper.