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 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

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).

[ DOI ] [ Details ]

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).

[ Details ]

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).

[ DOI ] [ Details ]

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).

[ DOI ] [ Details ]

Further Information

Editor(s)Döllner, Jürgen and Jobst, Markus and Schmitz, Peter

URNhttp://dx.doi.org/10.1007/978-3-319-72434-8_2

AbstractToday, landscapes, cities, and infrastructure networks are commonly captured at regular intervals using LiDAR or image-based remote sensing technologies. The resulting point clouds, representing digital snapshots of the reality, are used for a growing number of applications, such as urban development, environmental monitoring, and disaster management. Multi-temporal point clouds, i.e., 4D point clouds, result from scanning the same site at different points in time and open up new ways to automate common geoinformation management workflows, e.g., updating and maintaining existing geodata such as models of terrain, infrastructure, building, and vegetation. However, existing GIS are often limited by processing strategies and storage capabilities that generally do not scale for massive point clouds containing several terabytes of data. We demonstrate and discuss techniques to manage, process, analyze, and provide large-scale, distributed 4D point clouds. All techniques have been implemented in a system that follows service-oriented design principles, thus, maximizing its interoperability and allowing for a seamless integration into existing workflows and systems. A modular service-oriented processing pipeline is presented that uses out-of-core and GPU-based processing approaches to efficiently handle massive 4D point clouds and to reduce processing times significantly. With respect to the provision of analysis results, we present web-based visualization techniques that apply real-time rendering algorithms and suitable interaction metaphors. Hence, users can explore, inspect, and analyze arbitrary large and dense point clouds. The approach is evaluated based on several real-world applications and datasets featuring different densities and characteristics. Results show that it enables the management, processing, analysis, and distribution of massive 4D point clouds as required by a growing number of applications and systems.

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).

[ DOI ] [ Details ]

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).

[ Details ]

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).

[ Details ]

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).

[ Details ]

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).

[ Details ]

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).

[ Details ]

11.

Discher, S., Richter, R., Döllner, J.: Interactive and View-Dependent See-Through Lenses for Massive 3D Point Clouds. Advances in 3D Geoinformation (2016).

[ Details ]

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).

[ DOI ] [ Details ]

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).

[ Details ]

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).

[ Details ]

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

Contact

Sören Discher

Research Interests

Publications

Talks

Teaching

Chair

Overview (Video)

How to find us

Campus Building G, Entrance