Hasso-Plattner-Institut
Prof. Dr. Jürgen Döllner
  
 

Contact

Sören Discher

Tel.: +49-(0)331 5509-3905
Fax: +49-(0)331 5509-172
Room: H-2.14
Email: soeren.discher(at)hpi.de

Research Gate

 

Research Interests

  • Rendering and Interaction Techniques for Semantically Rich 3D Point Clouds
  • Scalable Rendering of Non-Static 3D Point Clouds
  • Real-Time Compression and Decompression for 3D Point Clouds
  • Geospatial Virtual Reality

Publications

Out-of-Core Visualization of Classified 3D Point Clouds

Richter, Rico; Discher, Sören; Döllner, Jürgen in 3D Geoinformation Science: The Selected Papers of the 3D GeoInfo 2014 Seite 227-242 . Cham: Springer International Publishing , 2015 .

3D point clouds represent an essential category of geodata used in a variety of geoinformation applications and systems. We present a novel, interactive out-of-core rendering technique for massive 3D point clouds based on a layered, multi-resolution kd-tree, whereby point-based rendering techniques are selected according to each point's classification (e.g., vegetation, buildings, terrain). The classification-dependent rendering leads to an improved visual representation, enhances recognition of objects within 3D point cloud depictions, and facilitates visual filtering and highlighting. To interactively explore objects, structures, and relations represented by 3D point clouds, our technique provides efficient means for an instantaneous, ad-hoc visualization compared to approaches that visualize 3D point clouds by deriving mesh-based 3D models. We have evaluated our approach for massive laser scan datasets of urban areas. The results show the scalability of the technique and how different configurations allow for designing task and domain-specific analysis and inspection tools. © The Authors 2014. This is the authors' version of the work. It is posted here for your personal use. Not for redistribution. The definitive version will be published in 3D Geoinformation Science: The Selected Papers of the 3D GeoInfo 2014 by Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-12181-9.
[ DOI ]
Out-of-Core Visualization... - Download
Out-of-Core Visualization... - Download
Out-of-Core Visualization... - Download
Out-of-Core Visualization... - Download
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Weitere Informationen
Tags 3D_point_clouds  LiDAR  cgs  point-based_rendering  visualization 

Talks

  • Interaction and Locomotion Techniques for the Exploration of Massvie 3D Point Clouds in VR Environments - held at the ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, Delft, The Netherlands (10/2018)
  • A Scalable WebGL-based Approach for Visualizing Massive 3D Point Clouds using Semantics-Dependent Rendering Techniques - held at the Web3D ’18, Poznan, Poland (06/2018)
  • A Point-Based and Image-Based Multi-Pass Rendering Technique for Visualizing Massive 3D Point Clouds in VR Environments - held at the WSCG 2018, Plzen, Czech Republic (05/2018)
  • Applications, Challenges and Solutions for 4D Point Clouds - held with Rico Richter at the International LiDAR Mapping Forum 2017, Denver, CO, USA (02/2017)
  • 3D Point Clouds for the Preservation and Documentation of Cultural Heritage - held at the HPI UCT Spring Workshop 2016, Cape Town, South Africa (04/2016)
  • Visualization and Interaction Techniques for Massive, Semantically Rich 3D Point Clouds - held at the Capturing Reality Forum, Salzburg, Austria (11/2015)
  • Interactive and View-Dependent See-Through Lenses for Massive 3D Point Clouds - held at the 3D GeoInfo 2015, Kuala Lumpur, Malaysia (10/2015)
  • Scalable Visualization of Massive 3D Point Clouds - held at the HPI UCT Spring Workshop 2015, Cape Town, South Africa (04/2015)
  • Echtzeit-Rendering-Techniken für 3D-Punktwolken basierend auf semantischen und topologischen Attributen - held at the 35. Wissenschaftlich-Technische Jahrestagung der DGPF, Cologne, Germany (03/2015)
  • Konzepte für eine Service-basierte Systemarchitektur zur Integration, Prozessierung und Analyse von massiven 3D-Punktwolken - held at the 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Hamburg, Germany (03/2014)

Teaching

Winter 2019/20

  • Course Advanced Point Cloud Analytics (tutor)
  • Bachelor project Deep Learning for 3D Infrastructure Data

Summer 2019

  • Course Selected Topics in Visual Computing (tutor)
  • Bachelor project Deep Learning for Geospatial Data

Winter 2018/19

  • Course Visualization Algorithms and Techniques (tutor)
  • Bachelor project Deep Learning for Geospatial Data

Summer 2018

  • Seminar Games of Life (tutor)
  • Seminar Advanced Games of Life (tutor)
  • Seminar Selected Topics in Spatial Analytics (tutor)
  • Bachelor project Web Platform for 3D Point Clouds

Winter 2017/18

  • Seminar Geovisualisierungstechniken (tutor)
  • Bachelor project Web Platform for 3D Point Clouds

Summer 2017

  • Seminar Advanced Information Visualization (tutor)
  • Bachelor project Geospatial Virtual Reality

Winter 2016/17

  • Seminar Processing and Visualization of 3D Geodata (tutor)
  • Bachelor project Geospatial Virtual Reality

Summer 2016

  • Seminar Methods and Techniques of Geospatial Visualization (tutor)
  • Bachelor project The Point Cloud

Winter 2015/16

  • Seminar Point Cloud Analytics (tutor)
  • Bachelor project The Point Cloud

Summer 2015

  • Lecture Einführung in die Programmiertechnik II (tutor)
  • Seminar Spatial Analytics (tutor)
  • Bachelor project 3D Point Clouds: Big Spatial Data

Winter 2014/15

  • Lecture Computer Graphics II (tutor)
  • Lecture Geoinformation Technologies (tutor)
  • Seminar Geovisualization (tutor)
  • Bachelor project 3D Point Clouds: Big Spatial Data

Summer 2014:

  • Lecture Computer Graphics I (tutor)
  • Seminar Information Visualization (tutor)
  • Bachelor project Analysis and Visualization of 3D Point Clouds

Winter 2013/14:

  • Seminar Game Programming (tutor)
  • Bachelor project Analysis and Visualization of 3D Point Clouds