Computer Graphics and Visualization • Publications

2016

Bas Dado, Timothy R. Kol, Pablo Bauszat, Jean-Marc Thiery, and Elmar Eisemann

Geometry and Attribute Compression for Voxel Scenes

Computer Graphics Forum, 2016

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Hyuntae Joo, Soonhyeon Kwon, Sangmin Lee, Elmar Eisemann, and Sungkil Lee

Efficient Ray Tracing Through Aspheric Lenses and Imperfect Bokeh Synthesis

Computer Graphics Forum, 2016

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Niels de Hoon, A.C. Jalba, Elmar Eisemann, and Anna Vilanova

Temporal Interpolation of 4D PC-MRI Blood-flow Measurements Using Bidirectional Physics-based Fluid Simulation

In Proceedings of Visual Computing in Biology and Medicine, 2016

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Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, et al.

Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets

Computer Graphics Forum, 2016

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Leonardo Scandolo, Pablo Bauszat, and Elmar Eisemann

Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows

Computer Graphics Forum, 2016

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Gerard Simons, Marco Ament, Sebastian Herholz, Carsten Dachsbacher, Martin Eisemann, and Elmar Eisemann

An Interactive Information Visualization Approach to Physically-Based Rendering

In Proceedings of Vision, Modeling, and Visualization, 2016

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Gennadii Donchyts, Jaap Schellekens, Hessel Winsemius, Elmar Eisemann, and Nick van de Giesen

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

Remote Sens, 2016

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Leonardo Scandolo, Pablo Bauszat, and Elmar Eisemann

Merged Multiresolution Hierarchies for Shadow Map Compression

Computer Graphics Forum, 2016

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2015

Thomas Kroes, Dirk Schut, and Elmar Eisemann

A smooth probability-based ambient occlusion approximation for volume rendering

2015

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We simulate the change of image appearance between photopic conditions (left) and appearance in scotopic conditions close to the absolute threshold (right), where consistent vision fades into temporally varying (not reproducible in print) noise.

Petr Kellnhofer, Tobias Ritschel, Karol Myszkowski, Elmar Eisemann, and Hans-Peter Seidel

Modeling Luminance Perception at Absolute Threshold

Computer Graphics Forum, 2015

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Depth Layering: While a single layer will result in a single average over all geometry (a), we can slice our scene in multiple depth layers to obtain averages for each layer separately (b).

Quintijn Hendrickx, Leonardo Scandolo, Martin Eisemann, and Elmar Eisemann

Adaptively layered statistical volumetric obscurance

In Proceedings of High Performance Graphics, 2015

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Michael Stengel, Steve Grogorick, Martin Eisemann, Elmar Eisemann, and Marcus Magnor

An Affordable Solution for Binocular Eye Tracking and Calibration in Head-mounted Displays

In Proceedings of ACM Multimedia, 2015

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A complex scene with fine details and global illumination. Left: Images rendered with PBRT [PH10] using 32 samples per pixel rendered in 2.5 minutes. Middle: Image reconstructed by our algorithm in 2.6 minutes including rendering and filtering. Right: Equal error image with 200 samples per pixel rendered in 12.7 minutes.

Pablo Bauszat, Martin Eisemann, Elmar Eisemann, and Marcus Magnor

General and Robust Error Estimation and Reconstruction for Monte Carlo Rendering

Computer Graphics Forum, 2015

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Petr Kellnhofer, Tobias Ritschel, Karol Myszkowski, Elmar Eisemann, and Hans-Peter Seidel

Modeling Luminance Perception at Absolute Threshold

Computer Graphics Forum, 2015

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Left full exposure, pins can be deployed anywhere on the bone/cartilage. Right limited exposure. The orthopedic surgeon paints the areas on the bone that are deemed accessible during surgery, thus limiting where pins can be deployed

Thomas Kroes, Edward R. Valstar, and Elmar Eisemann

Numerical optimization of alignment reproducibility for customizable surgical guides

International Journal of Computer Assisted Radiology and Surgery, 2015

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Manipulation of different entity types within the same scene. A street entity led to the generation of several buildings, represented as shapes. Each building was given a number which was then used to produce a custom texture to attach next to each door. Light sources were then instanced on the location of each street lamp, just above the doors. The generation of each entity type therefore greatly benefits when processed in sequence, in a single pipeline, instead of in separate environments.

Pedro Silva, Elmar Eisemann, Rafael Bidarra, and Antonio Coelho

Procedural Content Graphs for Urban Modeling

Int J Comput Games Technol, 2015

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Left: single scattering using the original geometry of the scene. The leaves of the tree block most of the light, causing only a subtle scattering effect. Right: scattering created by occluder manipulation. Using our system, an artist can easily add holes into the shadow map of the tree, causing an increased amount of and more interesting scattering effects. While physically incorrect, it is not visible to the viewer that the right image uses fake occlusion information. Insets show the scattering only. Surface shadows are created from the unmodified shadow map.

Oliver Klehm, Timothy R. Kol, Hans-Peter Seidel, and Elmar Eisemann

Stylized scattering via transfer functions and occluder manipulation

In Proceedings of Graphics Interface, 2015

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Michael Stengel, Pablo Bauszat, Martin Eisemann, Elmar Eisemann, and Marcus Magnor

Temporal Video Filtering and Exposure Control for Perceptual Motion Blur

IEEE Transactions on Visualization and Computer Graphics, 2015

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We compute the product of approximated visibility and environment map lighting in a stochastic Monte Carlo volume renderer to steer a joint importance sampling of the direct lighting. Our proposed two-step approach is well suited for dynamic changes in visibility and lighting functions due to a fast sweeping-plane algorithm to estimate visibility. The insets show how our technique (blue) achieves faster convergence with less samples compared to a uniform sampling (red) and importance sampling of the environment map (yellow). Here, 64 samples per pixel have been used. The Manix data set consists of 512×512×460 voxels.

Thomas Kroes, Martin Eisemann, and Elmar Eisemann

Visibility sweeps for joint-hierarchical importance sampling of direct lighting for stochastic volume rendering

In Proceedings of Graphics Interface, 2015

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Daniel van der Ende, Jean-Marc Thiery, and Elmar Eisemann

Accelerated Mean Shift For Static And Streaming Environments

In Proceedings of DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics, 2015

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