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

  • 1.
    Wolf, J., Pietz, T., Richter, R., Discher, S., Jürgen, D.: Image-based Road Marking Classification and Vector Data Derivation from Mobile Mapping 3D Point Clouds. Proceedings of the 16th International Conference on Computer Graphics Theory and Applications. pp. 227–234 (2021).
     
  • 2.
    Wolf, J., Discher, S., Döllner, J.: Techniken zur kombinierten Darstellung von 2D-Bodenradar und 3D-Punktwolken zur Analyse des Straßenraums. Tagungsband der 39. Wissenschaftlich-Technischen Jahrestagung der DGPF e.V. 154–166 (2019).
     
  • Applicability of neural n... - Download
    3.
    Wolf, J., Richter, R., Discher, S., Döllner, J.: Applicability of neural networks for image classification on object detection in mobile mapping 3d point clouds. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 42, 111–115 (2019).
     
  • Service-Oriented Processi... - Download
    4.
    Discher, S., Richter, R., Trapp, M., Döllner, J.: Service-Oriented Processing and Analysis of Massive Point Clouds in Geoinformation Management. In: Döllner, J., Jobst, M., and Schmitz, P. (eds.) Service-Oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management. pp. 43–61. Springer International Publishing, Cham (2019).
     
  • Concepts and techniques f... - Download
    5.
    Discher, S., Richter, R., Döllner, J.: Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics. Graphical Models. 104, 101036 (2019).
     
  • A Point-Based and Image-B... - Download
    6.
    Discher, S., Masopust, L., Schulz, S., Richter, R., Döllner, J.: A Point-Based and Image-Based Multi-Pass Rendering Technique for Visualizing Massive 3D Point Clouds in VR Environments. Proceedings of WSCG 2018. (2018).
     
  • A Scalable WebGL-based Ap... - Download
    7.
    Discher, S., Richter, R., Döllner, J.: A Scalable WebGL-based Approach for Visualizing Massive 3D Point Clouds using Semantics-Dependent Rendering Techniques. Proceedings of Web3D ’18. (2018).
     
  • Interaction and Locomotio... - Download
    8.
    Thiel, F., Discher, S., Richter, R., Döllner, J.: Interaction and Locomotion Techniques for the Exploration of Massive 3D Point Clouds in VR Environments. Proceedings of ISPRS Technical Commission IV Symposium 2018. (2018).
     
  • Combined Visual Explorati... - Download
    9.
    Wolf, J., Discher, S., Masopust, L., Schulz, S., Richter, R., Döllner, J.: Combined Visual Exploration of 2D Ground Radar and 3D Point Cloud Data for Road Environments. Proceedings of 3D GeoInfo 2018. (2018).
     
  • 10.
    Discher, S., Richter, R., Trapp, M., Döllner, J.: Service-Oriented Processing and Analysis of Massive Point Clouds in Geoinformation Management. In: Döllner, J., Jobst, M., and Schmitz, P. (eds.) Service Oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management. Springer (2018).
     
  • Interactive and View-Depe... - Download
    11.
    Discher, S., Richter, R., Döllner, J.: Interactive and View-Dependent See-Through Lenses for Massive 3D Point Clouds. Advances in 3D Geoinformation (2016).
     
  • Out-of-Core Visualization... - Download
    12.
    Richter, R., Discher, S., Döllner, J.: Out-of-Core Visualization of Classified 3D Point Clouds. 3D Geoinformation Science: The Selected Papers of the 3D GeoInfo 2014. pp. 227–242. Cham: Springer International Publishing (2015).
     
  • Echtzeit-Rendering-Techni... - Download
    13.
    Discher, Sören: Echtzeit-Rendering-Techniken für 3D-Punktwolken basierend auf semantischen und topologischen Attributen. Shortlist Karl Kraus Young Scientists Award 2015, 35. Wissenschaftlich-Technische Jahrestagung der DGPF (2015).
     
  • Konzepte für eine Servic... - Download
    14.
    Discher, S., Richter, R., Döllner, J.: Konzepte für eine Service-basierte Systemarchitektur zur Integration, Prozessierung und Analyse von massiven 3D-Punktwolken. Tagungsbände der 34. Wissenschaftlich-Technischen Jahrestagung der DGPF (2014).
     

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