Computer Graphics and Visualization › Publications

2012

The preprocessing steps. Left Definition of the contours, Middle Definition of scar (gray zone (in yellow) and core zone (in red)) and Right The composition of the mesh based on the contours in 3D. The last described preprocessing step of indicating the position of the origin of the left main coronary artery is not included in this figure
Corine Godeschalk-Slagboom, Rob van der Geest, Katja Zeppenfeld, and Charl P. Botha
Cardiac MRI visualization for ventricular tachycardia ablation
International Journal of Computer Assisted Radiology and Surgery, 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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Stunt arenas generated for players modeled as high (a) and medium (b) Sunday Drivers.
Ricardo Lopes, Tim Tutenel, and Rafael Bidarra
Using gameplay semantics to procedurally generate player-matching game worlds
In Proceedings of PCG Workshop, 2012
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An overview of the application window with two datasets. Each dataset is opened in its own child window. Each child window contains of three views: the pixmap view on the top-left, the slice views on the top right and the anatomical view on the bottom.
Andre F. van Dixhoorn, Julien Milles, Baldur van Lew, and Charl P. Botha
BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization
In Proceedings of Visual Computing in Biology and Medicine, 2012
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Example of a transformation into a multi-component target
Marcelo Renhe, Antonio Oliveira, Claudio Esperança, and Ricardo Marroquim
Enhanced Target Driven Smoke Morphing
In Proceedings of SIBGRAPI, 2012
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Left: Brute force method. Center: Hierarchical template matching. Right: Floating Texture’s optical flow implementation
Matteo Dellepiane, Ricardo Marroquim, Marco Callieri, Paolo Cignoni, and Roberto Scopigno
Flow-Based Local Optimization for Image-to-Geometry Projection
IEEE Transactions on Visualization and Computer Graphics, 2012
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Two examples of interactive visualizations made with the volume renderer of Kroes et al.
Charl P. Botha, Bernhard Preim, Arie Kaufman, Shigeo Takahashi, and Anders Ynnerman
From individual to population: Challenges in Medical Visualization
CoRR, 2012
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Snapshots of our 3D framework, visualizing an example of simulation
Rafael Hocevar, Fernando Marson, Vinicius Cassol, Henry Braun, Rafael Bidarra, and Soraia R. Musse
From Their Environment to Their Behavior: A Procedural Approach to Model Groups of Virtual Agents
In Proceedings of IVA, 2012
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Overview of the visualization framework, based on spatiotemporal hierarchical clustering. The gray dashed arrows depict pre-processing steps. (1) A tMIP volume is generated, and (2) an iso-threshold captures the voxels that are clustered. (3) Next, the cluster hierarchy is constructed. (4) Using the cluster tree, labels are generated per cardiac phase. After preprocessing, the real-time visualization is generated using the available data structures, as depicted by the solid blue arrow.
R.F.P. van Pelt, S.S.A.M. Jacobs, B.M. ter Haar Romeny, and Anna Vilanova
Visualization of 4D Blood-Flow Fields by Spatiotemporal Hierarchical Clustering
Computer Graphics Forum, 2012
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3D model “Bottle” and “Balloon vehicle”
Xin Zhang, Tim Tutenel, Rong Mo, Rafael Bidarra, and Willem F. Bronsvoort
A Method for Specifying Semantics of Large Sets of 3D Models
In Proceedings of GRAPP, 2012
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Visualization for antomical exploration of the rectum (green) and levator ani muscle (red) of a segmentation label volume based on the Visible Korean Human cryosectional dataset. The declarative query in this case is “Show me the rectum and the nearby surrounding musculature”.
Noeska Natasja Smit, Thomas Kroes, Anne C. Kraima, Daniel Jansma, Marco C. Deruiter, et al.
Towards Declarative Medical Visualization
In Proceedings of Eurographics Workshop on Visual Computing for Biology and Medicine Poster, 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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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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A screenshot of an interactive simulation with GALES. The 3D cloud field visualization is shown using volume rendering. During the simulation, the visualization can be actively zoomed and rotated to directly obtain insight into the simulation process.
Jerome Schalkwijk, Eric Griffith, Frits H. Post, and H.J.J. Jonker
High performance simulations of turbulent clouds on a desktop PC: exploiting the GPU
Bulletin of the American Meteorological Society (BAMS), 2012
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Automatic 3D material style transfer from different source images (insets) to a target 3D scene using our approach
Chuong Nguyen, Tobias Ritschel, Karol Myszkowski, Elmar Eisemann, and Hans-Peter Seidel
3D Material Style Transfer
Computer Graphics Forum, 2012
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Voorspellen van visueel functieverlies door epilepsiechirurgie
B.M. ter Haar Romeny, C. Tax, R. Duits, Anna Vilanova, C. Jacobs, et al.
Voorspellen van visueel functieverlies door epilepsiechirurgie
Epilepsie : Periodiek voor Professionals, 2012
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FU maps for multichannel EEG coherence visualization. Brain responses were collected from three subjects using an EEG cap with 119 scalp electrodes. During a so-called P300 experiment, each participant was instructed to count target tones of 2000Hz (probability 0.15), alternated with standard tones of 1000Hz (probability 0.85) which were to be ignored. After the experiment, the participant had to report the number of perceived target tones. Shown are FU maps for target stimuli data, with FUs larger than 5 cells, for the 1-3Hz EEG frequency band (top row) and for 13-20Hz (bottom row), for three datasets.
Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, V. J. Dercksen, et al.
Visualization in Connectomics
CoRR, 2012
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Significant functional connectivity clusters for (a) the right and (b) the left atlas-based STN ROIs, shown on three coronal slices of the MNI152 template. The yellow lines on the axial image on the left-hand side show the position of the coronal slices. Red clusters exhibit positive regression coefficients, while blue clusters yield negative coefficients
E.J.L. Brunenberg, P. Moeskops, W.H. Backes, C. Pollo, L. Cammoun, et al.
Structural and resting state functional connectivity of the subthalamic nucleus: identification of motor STN parts and the hyperdirect pathway
PLoS One, 2012
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Editing huge game worlds in the Crytek Sandbox 2 editor can become very complex
Tim Tutenel
Semantic game worlds
PhD Thesis, 2012
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Result of fiber tracking using three seedpoints based on the activity maps
C. Tax, R. Duits, B.M. ter Haar Romeny, and Anna Vilanova
Tractography of the optic radiation for vision sparing epilepsy surgery
In Proceedings of International Conference on Information and Automation, 2012
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