Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


For more than 25 years the Chair of Visual Computing researches methods for the generation, processing and analysis of images and 3D-models. This includes disciplines such as computer graphics, visualization, geometry processing, virtual reality, computer vision, or 3d reconstruction.

The research foci of the group are:

  • Rendering & Visualization: In rendering, algorithms are examined to synthesize images from given virtual 3D-objects or worlds. Rendering methods focus on the generation of realistic images (photo-realistic rendering) or the fast synthesis of the images, resulting in fluent movement (real-time rendering). In visualization, the goal here is not to render images that are realistic, but that generate insight to all types of data, from measured data (e.g., medical CT scans), simulated data (flow simulation data), or non-spatial, abstract data such as the spread of news on twitter.

  • Geometric Modelling & 3D-Reconstruction: In this research area, we examine methods to generate 3D-models (e.g. for later rendering or visualization), and to process and analyze these models. This includes representations of 3D surfaces in a computer, and algorithms for the animation of these objects, or their physical simulation. In 3D-reconstruction, we reconstruct 3D-models from images or with the help of more advanced sensors, in particular depth cameras such as the Microsoft Kinect.

  • Virtual and Augmented Reality: In virtual reality a user immerges into a virtual world using special display devices. One currently popular such device are Head Mounted Displays, where a user looks around in a virtual world by turning his head or walking around while wearing the display. In augmented reality, the real environment is augmented with virtual objects. Again, this requires special display devices that overlay the real world with virtual content (e.g. AR glasses such as the Microsoft Hololens), or by using projectors that display virtual content on their surrounding.

  • Visual Computing in the Humanities and Social Sciences: In this research area, we apply and develop methods from Visual Computing to answer question from humanities and social sciences. A typical example is archaeology, where we digitize ancient artifacts using 3D-reconstruction, analyze them using approaches from geometry processing, and visualize them using virtual reality. Our lab is involved with the interdisciplinary center "IZ digital" and the study course "Digital Humanities".

Cauerstraße 11
91058 Erlangen

Research Fields

Geometric Modeling and 3D Reconstruction
Rendering and Visualization
Virtual, Mixed, and Augmented Reality
Visual Computing for Digital Humanities and Social Sciences
Visual Healthcare Computing

Related Project(s)

Go to first page Go to previous page 1 of 2 Go to next page Go to last page

OCEAN: Rechenleistungsoptimierte Software-Strategien für auf unstrukturierten Gittern basierende Anwendungen in der Ozeanmodellierung
Vadym Aizinger; Dr. Roberto Grosso; Prof. Dr. Harald Köstler
(01/01/2017 - 30/09/2020)

Bildforensik: Analyse der digitalen Integrität von Bildern und Videos
Dr.-Ing. Christian Riess; Prof. Dr. Marc Stamminger

Metalinguistic Abstractions for Graphics Applications
Kai Selgrad; Prof. Dr. Marc Stamminger

Projection Mapping
Dr.-Ing. Frank Bauer; Prof. Dr. Marc Stamminger
(01/10/2014 - 01/10/2025)

Advanced Raytracing
Prof. Dr. Marc Stamminger

Publications (Download BibTeX)

Go to first page Go to previous page 1 of 9 Go to next page Go to last page

Falk, S., Kniesburges, S., Janka, R.M., Grosso, R., Becker, S., Semmler, M., & Döllinger, M. (2019). Computational hydrodynamics of a typical 3-fin surfboard setup. Journal of Fluids and Structures, 90, 297-314. https://dx.doi.org/10.1016/j.jfluidstructs.2019.07.006
Bergler, M., Benz, M., Rauber, D., Hartmann, D., Kötter, M., Eckstein, M.,... Geppert, C. (2019). Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach. In Reyes-Aldasoro CC, Janowczyk A, Veta M, Bankhead P, Sirinukunwattana K (Eds.), Digital Pathology (pp. 83--90). Warwick , UK: Cham: Springer International Publishing.
Innmann, M., Kim, K., Gu, J., Niessner, M., Loop, C., Stamminger, M., & Kautz, J. (2019). NRMVS: Non-Rigid Multi-View Stereo. arXiv.
Fink, L., Hensel, N., Markov-Vetter, D., Weber, C., Staadt, O., & Stamminger, M. (2019). Hybrid Mono-Stereo Rendering in Virtual Reality. In IEEE (Eds.), Proceedings of the IEEE Virtual Reality (pp. to appear). Osaka.
Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., & Nießner, M. (2019). Face2Face: real-time face capture and reenactment of RGB videos. Communications of the Acm, 62(1), 96-104. https://dx.doi.org/10.1145/3292039
Roessler, A., Cozzolino, D., Verdoliva, L., Rieß, C., Thies, J., & Niessner, M. (2019). FaceForensics++: Learning to Detect Manipulated Facial Images.
Matern, F., Riess, C., & Stamminger, M. (2019). Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations. In IEEE Workshop on Applications in Computer Vision (pp. 83-92). Waikoloa Village, HI, US: IEEE.
Martschinke, J., Martschinke, J., Stamminger, M., & Bauer, F. (2019). Gaze-Dependent Distortion Correction for Thick Lenses in HMDs. In IEEE (Eds.), IEEE Conference Proceedings Workshop on Eye Tracking and Vision Augmentation (pp. to appear). Osaka.
Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., & Niessner, M. (2019). Face2Face: Real-time face capture and reenactment of RGB videos. Communications of the Acm, 62(1), 96-104. https://dx.doi.org/10.1145/3292039
Kalisz, A., Particke, F., Penk, D., Hiller, M., & Thielecke, J. (2019). B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. In SciTePress (Eds.), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP (pp. 816-823). Prag, Tschechische Republik, CZ.
Martschinke, J., Hartnagel, S., Keinert, B., Engel, K., & Stamminger, M. (2019). Adaptive Temporal Sampling for Volumetric Path Tracing of Medical Data. In Proceedings of the Eurographics Symposium on Rendering (EGSR). Straßburg, FR.
Zint, D., & Grosso, R. (2019). Discrete mesh optimization on GPU. In Adrien Loseille, Xevi Roca (Eds.), Lecture Notes in Computational Science and Engineering (pp. 445-460). Albuquerque, NM, US: Springer Verlag.
Rückert, D., & Stamminger, M. (2019). An Efficient Solution to Structured Optimization Problems using Recursive Matrices. Computer Graphics Forum, 38(8). https://dx.doi.org/10.1111/cgf.13758
Klucken, J., Gladow, T., Hilgert, J.G., Stamminger, M., Weigand, C., & Eskofier, B. (2019). „Wearables“ in der Behandlung neurologischer Erkrankungen – wo stehen wir heute? Der Nervenarzt. https://dx.doi.org/10.1007/s00115-019-0753-z
Herglotz, C., Müller, D., Weinlich, A., Bauer, F., Ortner, M., Stamminger, M., & Kaup, A. (2018). Improving HEVC Encoding of Rendered Video Data Using True Motion Information. In Proceedings of the 20th IEEE International Symposium on Multimedia. Taichung, TW.
Lange, V., Kurth, P., Keinert, B., Boß, M., Stamminger, M., & Bauer, F. (2018). Proxy Painting. In Sablatnig Robert, Wimmer Michael (Eds.), Eurographics Workshop on Graphics and Cultural Heritage (pp. 97-104). Wien, AT: The Eurographics Association.
Kurth, P., Lange, V., Siegl, C., Stamminger, M., & Bauer, F. (2018). Auto-Calibration for Dynamic Multi-Projection Mapping on Arbitrary Surfaces. IEEE Transactions on Visualization and Computer Graphics, 24(11), 2886-2894. https://dx.doi.org/10.1109/TVCG.2018.2868530
Hackner, R., Hann, A., Franz, D., Meining, A., Raithel, M., & Wittenberg, T. (2018). Panoramic Endoscopy of the Stomach: First results from Phantom and Patient Data. In Thomas Neumuth, Andreas Melzer, Claire Chalopin (Eds.), Proc's 17. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC 2018) (pp. 10 --15). Leipzig.
Lier, A., Martinek, M., Stamminger, M., & Selgrad, K. (2018). A High-Resolution Compression Scheme for Ray Tracing Subdivision Surfaces with Displacement. In Proceedings of the ACM on Computer Graphics and Interactive Techniques, Volume 1 Issue 2, August 2018. Vancouver, CA: New York, NY, USA: ACM.
Lier, A., Stamminger, M., & Selgrad, K. (2018). CPU-Style SIMD Ray Traversal on GPUs. In ACM New York, NY, USA (Eds.), HPG '18 Proceedings of the Conference on High-Performance Graphics. Vancouver, CA.

Publications in addition (Download BibTeX)

Genc, P., & Hassan, T. (2019). Analysis of Personality Dependent Differences in Pupillary Response and its Relation to Stress Recovery Ability. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 (pp. 505-510). Kyoto, JP: Institute of Electrical and Electronics Engineers Inc..

Last updated on 2019-06-09 at 14:10