Prof. Dr. Jürgen Döllner
Jan Klimke


Dr. Jan Klimke

Tel.: +49-(0)331 5509-3904
Fax: +49-(0)331 5509-172
Room: H-2.25
Email: jan.klimke@hpi.de


Research Interests

  • Visual Software Analytics
  • Service-based 3D Visualization
  • Geovisualization
  • Sensor Data Visualization and Analytics
  • Urban Analytics




Integrating 3D Data in Service-based Visualization Systems

Klimke, Jan; Hildebrandt, Dieter; Hagedorn, Benjamin; Döllner, Jürgen in COM.Geo '11 Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications ACM , 2011 .

Georeferenced data is available from a wide range of sources, e.g., Directory Services, Sensor Observation Services, Web Feature Services or even proprietary interfaces. Many of the data originating from an Internet of things will be threedimensional representing outdoor as well as indoor geographic features and their properties. Based on this data, its integration, and its visualization totally new applications and systems could be designed and implemented supporting various applications domains. Recent work in the area of service-based 3D visualization enables high-quality visualization of complex 3D geodata, e.g., 3D city models and 3D indoor building models, on thin clients as well as mobile devices such as smartphones and tablets. This work uses a service-based, image-based visualization approach that decouples the server-side resource-intensive management and rendering of complex, massive 3D geodata from client-side display functionalities: A Web View Service provides image representations of a 3D scene, these images, which can contain different types of information per pixel, are transmitted to a client application that can reconstruct a 3D representation of this scene. – In this talk, we will describe how to combine 3D geodata originating from the Internet of Things with this service-based approach in a way that allows for the interactive exploration of and interaction with 3D worlds and objects of interest. In detail, this 3D geodata can be integrated into the visualization process a) at the rendering stage of a portrayal service, b) through an image post processing step or c) in the client application itself. Moreover, this data can be visually represented directly by modifying the appearance of existing features, e.g., for visualizing measurements, or indirectly by introducing additional objects, e.g., icons, into the 3D scene. We will discuss advantages and disadvantages of these different approaches for implementing visualization applications using live geodata sources.
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Winter Term 2009/2010

Summer Term 2010

  • Lecture assistance "Programming of 3D-Applications"
  • Tutor seminar "Information- and Geovisualization"
  • Tutorial course "Introduction to C++"

Winter Term 2010 / 2011

  • Tutor seminar Gameprogramming

Sommersemester 2011

  • Bachelor project "Service-based 3D Geovisualization on mobile Devices"

Wintersemester 2011 / 2012:

  • Tutor seminar Gameprogramming

Summer Term 2012

  • Bachelor project "Mobile 3D Apps"

Summer Term 2013

  • Bachelor Project "Service-based information rich 3D City Models"

Winter Term 2015/2016

  • Seminar tutor "Spatial Data / Spatio Temporal Data" 

Summer Term 2016

  • Seminar tutor "Introduction to Visual Analytics"
  • Master Project "Sensor Data Analytics"

Master's Theses

  • "An Approach for automatic Selection of Best Views for virtual 3D City Models", Marit Möller, 2013
  • "Service-based Generation of Video Sequences for virtual 3D City Models", Marika Marszalkowski, 2014
  • "Level of Detail Techniques for Service-based Rendering of 3D City Models", Marcel Pursche, 2015
  • "A System for Streaming-based Visualization of Massive Virtual 3D City Models based on WebGL",Simon Völcker, 2015
  • "A Framework for Thematic Visualization in Service-Based Virtual 3D City Models", Roman Preuss

Further Activities

  • Member of SIG3D, Standardization of CityGML within OGC CityGML