Prof. Dr. Jürgen Döllner
Rico Richter


Tel.: +49-(0)331 5509-3910
Fax: +49-(0)331 5509-172
Room: H-2.27
E-Mail: rico.richter(at)hpi.de


A Scalable WebGL-based Approach for Visualizing Massive 3D Point Clouds using Semantics-Dependent Rendering Techniques

Discher, Sören; Richter, Rico; Döllner, Jürgen in Proceedings of Web3D ’18 2018 .

3D point cloud technology facilitates the automated and highly detailed digital acquisition of real-world environments such as assets, sites, cities, and countries; the acquired 3D point clouds represent an essential category of geodata used in a variety of geoinformation applications and systems. In this paper, we present a web-based system for the interactive and collaborative exploration and inspection of arbitrary large 3D point clouds. Our approach is based on standard WebGL on the client side and is able to render 3D point clouds with billions of points. It uses spatial data structures and level-of-detail representations to manage the 3D point cloud data and to deploy out-of-core and web-based rendering concepts. By providing functionality for both, thin-client and thick-client applications, the system scales for client devices that are vastly different in computing capabilities. Different 3D point-based rendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering and highlighting, e.g., based on per-point surface categories or temporal information. A set of interaction techniques allows users to collaboratively work with the data, e.g., by measuring distances and areas, by annotating, or by selecting and extracting data subsets. Additional value is provided by the system's ability to display additional, context-providing geodata alongside 3D point clouds and to integrate task-specific processing and analysis operations. We have evaluated the presented techniques and the prototype system with different data sets from aerial, mobile, and terrestrial acquisition campaigns with up to 120 billion points to show their practicality and feasibility.
A Scalable WebGL-based Ap... - Download
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Weitere Informationen
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  • "Detection and Classification of Changes in Urban Areas Based on Semantic Analysis of Airborne Point Clouds", European LiDAR Mapping Forum 2014, Amsterdam, The Netherlands (12/2014) 
  • "Out-of-Core Visualization of Classified 3D Point Clouds", 3D GeoInfo 2014, Dubai, VAE (11/2014) 
  • "Effiziente Bestandsaktualisierung von 3D-Stadtmodellen durch Analyse multi temporaler 3D-Punktwolken", Workshop 3D-Stadtmodelle 2014, Bonn, Deutschland (11/2014) 
  • "Semantische Klassifizierung von 3D-Punktwolken für Stadtgebiete", Terrestrisches Laserscanning 2013, Fulda, Deutschland (12/2013) 
  • "Potentiale von massiven 3D-Punktwolkendatenströmen", Geoinformatik 2012, Braunschweig, Deutschland (03/2012) 
  • "Ein Ansatz für die Differenzanalyse zwischen 3D-Punktwolken und 3D-Referenzgeometrie", DGPF - Jahrestagung 2011, Mainz, Deutschland (04/2011)
  • "Software-Technologie für massive 3D-Punktwolken", Laserscanning –eine Methode zur Bereitstellung von Geodaten für vielfältigste Anwendungen am GFZ Potsdam, Deutschland (04/2011)
  • "Bestandsaktualisierung von 3D-Stadtmodellen durch Analyse von 3D-Punktwolken", auf der 3-Ländertagung 2010, Wien , Deutschland (07/2010)
  • "Out-of-Core Real-Time Visualization of Massive 3D Point Clouds", auf der 7th International Conference on Virtual Reality, Computer Graphics, Visualisation and Interaction in Africa, Franschoek, South Africa (06/2010)


Sommersemester 2017

  • Seminar Advanced Information Visualization
  • Bachelorprojekt "Geospatial Virtual Reality"

Wintersemester 2016/17

  • Seminar Processing and Visualization of 3D Geodata
  • Bachelorprojekt "Geospatial Virtual Reality"

Sommersemester 2016

  • Semianr Methods and Techniques of Geospatial Visualization
  • Bachelorprojekt "The Point Cloud"

Wintersemester 2015/16

  • Seminar Point Cloud Analytics 
  • Bachelorprojekt "The Point Cloud"

Sommersemester 2015

  • Seminar Spatial Analytics
  • Bachelorprojekt "3D-Punktwolken: Big Spatial Data"

Wintersemester 2014/2015

  •  Seminar Geovisualisierung
  •  Bachelorprojekt "3D-Punktwolken: Big Spatial Data"

Sommersemester 2014

  •  Seminar Information Visualization
  •  Bachelorprojekt "Analyse & Visualisierung von 3D-Punktwolken"

Wintersemester 2013/2014

  •  Seminar Geovisualisierung
  •  Bachelorprojekt "Analyse & Visualisierung von 3D-Punktwolken"

Sommersemester 2013

  •  Seminar Geovisualisierungsverfahren

Wintersemester 2012/2013

  •  Seminar Konzepte und Techniken der 3D-Visualisierung

Sommersemester 2012

  •  Seminar Geovisualisierungsverfahren

Wintersemester 2011/2012

  •  Seminar Echtzeit-Rendering-Techniken

Sommersemester 2011

  •  Seminar Geovisualisierung

Wintersemester 2010/2011

  • Tutor Vorlesung Informationsvisualisierung
  • Seminar Advanced Visualization Techniques

Sommersemester 2010

  • Bachelorprojekt "Werkzeug zur Analyse umfangreicher Laser-Scans"

Wintersemester 2009/2010

  • Tutor Vorlesung Geovisualisierung
  • Bachelorprojekt "Werkzeug zur Analyse umfangreicher Laser-Scans"

Sommersemester 2009

  • Übung zur Vorlesung 3D Computergrafik