An End-to-end System for Real-Time Point Cloud Visualization

By Hansjörg Hofer, Florian Seitner, and Margrit Gelautz

Abstract

The growing availability of RGB-D data, as delivered by current depth sensing devices, forms the basis for a variety of mixed reality (MR) applications, in which real and synthetic scene content is combined for interaction in real-time. The processing of dynamic point clouds with possible fast and unconstrained movement poses special challenges to the surface reconstruction and rendering algorithms. We propose an end-to-end system for dynamic point cloud visualization from RGB-D input data that takes advantage of the Unity3D game engine for efficient state-of-the-art rendering and platformindependence. We discuss specific requirements and key components of the overall system along with selected aspects of its implementation. Our experimental evaluation demonstrates that high-quality and versatile visualization results can be obtained for datasets of up to 5 million points in real-time.

Reference

H. Hofer, F. Seitner, M. Gelautz: "An End-to-end System for Real-Time Point Cloud Visualization"; Talk: 2018 International Conference on 3D Immersion (IC3D), Brüssel, Belgien; 12-05-2018 - 12-07-2018; in: "2018 International Conference on 3D Immersion (IC3D)", (2019), ISBN: 978-1-5386-7590-8; 8 pages.

BibTeX

@inproceedings{TUW-278851,     author = {Hofer, Hansj{\"o}rg and Seitner, Florian and Gelautz, Margrit},     title = {An End-to-end System for Real-Time Point Cloud Visualization},     booktitle = {2018 International Conference on 3D Immersion (IC3D)},     year = {2019},     numpages = {8},     url = {https://publik.tuwien.ac.at/files/publik_278851.pdf},     isbn = {978-1-5386-7590-8},     doi = {10.1109/IC3D.2018.8657915},     note = {talk: 2018 International Conference on 3D Immersion (IC3D), Br{\"u}ssel, Belgien; 2018-12-05 -- 2018-12-07} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.