Computer Graphics and Visualization › Publications

2014

Changgong Zhang, Martijn van de Giessen, Elmar Eisemann, and Anna Vilanova
User-Guided Compressed Sensing for Magnetic Resonance Angiography
In Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), 2014
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Leila Schemali and Elmar Eisemann
Design and evaluation of mouse cursors in a stereoscopic desktop environment
In Proceedings of 3DUI, 2014
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Ben Kybartas, Rafael Bidarra, and Elmar Eisemann
Integrating semantics and narrative world generation
In Proceedings of FDG, 2014
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2013

Sungkil Lee and Elmar Eisemann
Practical Real-Time Lens-Flare Rendering
Computer Graphics Forum, 2013
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Elmar Eisemann, Ulf Assarsson, Michael Schwarz, Michal Valient, and Michael Wimmer
Efficient real-time shadows
In Proceedings of SIGGRAPH Courses, 2013
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Matthias Hollaender, Tamy Boubekeur, and Elmar Eisemann
Adaptive supersampling for deferred anti-aliasing
Journal of Computer Graphics Techniques, 2013
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Alkhazur Manakov, John F. Restrepo, Oliver Klehm, Ramon Hegedus, Elmar Eisemann, et al.
A reconfigurable camera add-on for high dynamic range, multispectral, polarization, and light-field imaging
ACM Transactions on Graphics, 2013
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Oliver Klehm, Ivo Ihrke, Hans-Peter Seidel, and Elmar Eisemann
Volume stylizer: tomography-based volume painting
In Proceedings of I3D, 2013
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Christian Kehl, Tim Tutenel, and Elmar Eisemann
Smooth, Interactive Rendering Techniques on Large-Scale, Geospatial Data in Flood Visualisations
In Proceedings of ICT Open, 2013
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C. Kurz, Tobias Ritschel, Elmar Eisemann, T. Thormaehlen, and Hans-Peter Seidel
Generating Realistic Camera Shake for Virtual Scenes
J Virtual Real Broadcast, 2013
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2012

Afterimage simulation of a traffic light over time. Note the over-time change of colors, blur and shape in the afterimage
Tobias Ritschel and Elmar Eisemann
A Computational Model of Afterimages
Computer Graphics Forum, 2012
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Francesco Banterle, Alessandro Artusi, Tunc Aydin, Piotr Didyk, Elmar Eisemann, et al.
Mapping Images to Target Devices: Spatial, Temporal, Stereo, Tone, and Color
In Proceedings of Eurographics (Tutorials), 2012
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Lionel Baboud and Elmar Eisemann
Efficient and Accurate Terrain Rendering
In Proceedings of Intel Developers Forum, 2012
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a) Input: Kaleidoscope image. b) User-drawn mask (green checkerboard pattern). c) User-drawn mask isolated. d) Approximate visual hull generated from (c) using image-based shading. e) Resulting labeling via visual hull
Oliver Klehm, I. Reshetouski, Elmar Eisemann, Hans-Peter Seidel, and Ivo Ihrke
Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images
In Proceedings of Vision, Modeling, and Visualization, 2012
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Standard 4,0962 shadow map with perspective warping, rendering at 64 FPS (left). QVSM with a maximum refinement level of 32 × 32 and 1,0242 tiles, rendering at 32 FPS (right). Adaptive subdivision effectively removes aliasing in cases that are difficult for reparametrization and global partitioning methods.
Elmar Eisemann, Ulf Assarsson, Michael Schwarz, Michal Valient, and Michael Wimmer
Efficient real-time shadows
In Proceedings of SIGGRAPH Courses, 2012
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From left to right: Starting from an original depth map a pixel disparity map is computed and then a disparity pyramid is built. After multi-resolution disparity processing, the dynamic range of disparity is adjusted and the resulting enhanced disparity map is produced. The map is then used to create enhanced stereo image.
Piotr Didyk, Tobias Ritschel, Elmar Eisemann, Karol Myszkowski, and Hans-Peter Seidel
Apparent stereo: the Cornsweet illusion can enhance perceived depth
In Proceedings of Human Vision and Electronic Imaging, 2012
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Real-time rendering applications exhibit a considerable amount of spatio-temporal coherence. This is true for camera motion, as in the Parthenon sequence (left), as well as animated scenes such as the Heroine (middle) and Ninja (right) sequences. Diagrams to the right of each rendering show disoccluded points in red, in contrast to points that were visible in the previous frame, which are shown in green (i.e. green points are available for reuse). [Images courtesy of Advanced Micro Devices, Inc., Sunnyvale, California, USA]
Daniel Scherzer, Lei Yang, Oliver Mattausch, Diego Nehab, Pedro V. Sander, et al.
Temporal Coherence Methods in Real-Time Rendering
Computer Graphics Forum, 2012
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Potential blockers (orange) for rays going from s to T are found in the shaft-like shape (green).
Lionel Baboud, Elmar Eisemann, and Hans-Peter Seidel
Precomputed Safety Shapes for Efficient and Accurate Height-Field Rendering
IEEE Transactions on Visualization and Computer Graphics, 2012
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Piotr Didyk, Tobias Ritschel, Elmar Eisemann, and Karol Myszkowski
Perceptual digital imaging: methods and applications
2012
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When stereo content (a; b) is manipulated (c), we quantify the perceived change considering luminance, and disparity (d), whereas previous work leads to wrong predictions (e) e. g., for low-texture areas, fog, or depth-of-field (arrows).Please note that all images in the paper, except for disparity and response maps are presented in anaglyph colors.
Piotr Didyk, Tobias Ritschel, Elmar Eisemann, Karol Myszkowski, Hans-Peter Seidel, and Wojciech Matusik
A luminance-contrast-aware disparity model and applications
ACM Transactions on Graphics, 2012
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