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Prof. Dr. Andreas Kolb

+49 271 / 740 - 2404

Universität Siegen
Lehrstuhl für Computergrafik
57076 Siegen


Andreas Kolb is head of the Computer Graphics and Multimedia Systems Group at the University of Siegen since 2003. His academy background is computer graphics and visualization. He received his PhD at the University of Erlangen in 1995 under supervision of Prof. H.-P. Seidel. Prior to his position at the University of Siegen, he was Professor for computer graphics at the University of Applied Sciences Wedel near Hamburg. Prof. Kolb is member of the Center for Sensor Systems (ZESS) at the University of Siegen (since 2005), of ACM/SIGGRAPH (since 2002), Eurographics Association (since 2001) and of Gesellschaft für Informatik (GI, since 1998). From October 2009 until September 2018 Prof. Kolb was the spokesman of the Research Traing Group 1564 "Imaging New Modilities", funded by the German Research Foundation (DFG). From beginning of 2011 until end of January 2015 he was Vice Dean for Research and Junior Scientists of the Faculty for Science and Technology of the University of Siegen. Since November 2019, Andreas Kolb is Liaison Officer of the German Research Foundation (DFG) for the University of Siegen. Since May 2022 Andreas Kolb is deputy spokesman of the Center for Sensor Systems (ZESS) and since March 2024 he is Vice-Rector for Research, Infrastructure and Collaboration of the University of Siegen.

An overview of my Pubilcations can be found on Google Scholar, Scopus and ResearchID.

Further details can be found in his Curriculum Vitae.

Topics of Research

Computer Graphics, Computer Vision based on ToF Sensors, Graphics Hardware based Visualization


Andreas Kolb

Research Projects

Currently, Andreas Kolb is conducting several public funded research projects:

  • Polymorphic scene representation for enhanced instant scene reconstruction: This DFG project deals with the investigation of spatially variable and adaptive representation of scene information for real-time applications, e.g. in scene reconstruction.
    Forward and differentiable simulation of L2S sensor data: In this subproject of DFG Research Unit 5336 Learning to Sense (L2S), efficient and differentiable methods for the simulation of imaging processes including hardware parameters are developed.
  • The project "Visually integrated clinical cooperation" as part of the DFG Collaborate Research Center 1187 "Media of Cooperation" deals with the development of novel, sensor-based visualization methods for enhanced clinical cooperation.
  • Dynamic light fields: This DFG-funded project aims at the development of acquisition and processing methods for multi-view RGB-D data in order to handle dynamic light fields.

Past projects:

  • Comprehensive adaptive simulation of SPH-based fluids: In this DFG-funded project adaptive fluid simulations are investigated, including aspects of, for example, two-way coupling with rigid bodies and GPU-optimized data structures.
  • PMD-modeling, -simulation, -evaluation & algorithms: In this DFG-funded project new algorithms and methods for application related procedures to handle and improve 3D range data delivered by PMD-cameras have been investigated.
  • Interactive Multifunctional Confocal Image Analysis: Within this DFG-funded project new setups for confocal microscopy habve been investigated. These microscopes deliver a huge amount of data in various modalities, which are analyzed visually.
  • NRW Research School "MOSES": This research school on Multi-Modal Sensor Systems for Environmental Exploration focuses on methods of remote and in-situ sensing technologies.
  • DFG Research Training Group 1564"Imaging New Modalities: This research training group investigates new methodologies in sensing and processing of new modalities in the context of civil security applications.
    Andreas Kolb was the spokesman of the DFG Research Training Group 1564.
  • Development and application of a 2D-energy dispersive detectors for synchrotron and FEL experiments: In this BMB+F-funded research project algorithms for fast visual analysis of large online dataset from high-speed energy dispersive detectors are developed.
  • LiveDetect3D: This BMB+F-funded research program develops new technologies for online acquisition of 3D THz-data, including online data processing and analysis.
  • EvaFaP:This project, funded by the BMB+F, investigates the potential of new approach for depth sensing based on a facet-eye principle.
  • Development of a non-intrusive system for detection of car silhouettes for car wash using PMD sensors: This project, funded by the BMWi sets up a prototype for a car wash system using a multiple PMD-sensor setup.
  • Siegen Graduate School: This graduate school Development of Integral Heterosensor Architectures for the n-Dimensional (Bio)chemical Analysis, funded by the University of Siegen, deals with various aspects of heterogeneous sensoric arrays for (bio)chemical analysis. The research focus of the Graphics Group is interactive, explorative visualization and simulation of sensors on the microscale.
  • Bistatic Exploration: Within this DFG-funded research package, he and his group develop fast and accurate algorithms for the visualization of Synthetic Aperture Radar (SAR) images.
  • Dynamic 3D Vision: Within this DFG-funded research package, he and his group investigatecalibrationfusion and image based rendering based on PMD technology.
    Andreas Kolb was spokesman of this DFG research research package.
  • Lynkeus: Within this BMB+F-funded research program, he and his group investigate fast PMD simulation techniques and real-time environment modelling algorithms.


List of publications