2018

Xuejiao Luo, Nestor Z. Salamon, and Elmar Eisemann
In Proceedings of Graphics Interface, 2018
Ignored-gradient region. Shadows and reflections introduce unwanted large gradients, which hinder the depth diffusion and lead to discontinuities. Using the ignored-gradient region brush, these gradients can be excluded from the depth derivation. (Top image: courtesy of Erik Sintorn; bottom image: Flickr - salendron)
Jingtang Liao, Shuheng Shen, and Elmar Eisemann
Computers & Graphics, 2018
Ulf Assarsson, Markus Billeter, Dan Dolonius, Elmar Eisemann, Alberto Jaspe, et al.
In Proceedings of Eurographics (Tutorials), 2018
Leonardo Torok, Elmar Eisemann, Daniela Trevisan, Anselmo Montenegro, and Esteban Clua
In Proceedings of Graphics Interface, 2018
Tim Buckers, Boning Gong, Elmar Eisemann, and Stephan G. Lukosch
In Proceedings of Superhuman Sports Design Challenge, 2018
Victor Petitjean, Pablo Bauszat, and Elmar Eisemann
Computer Graphics Forum, 2018
Leonardo Scandolo, Sungkil Lee, and Elmar Eisemann
Computer Graphics Forum, 2018
Jerry Guo, Pablo Bauszat, Jacco Bikker, and Elmar Eisemann
In Proceedings of EGSR (EI&I), 2018
Nicola Pezzotti, Jean-Daniel Fekete, Thomas Höllt, Boudewijn P. F. Lelieveldt, Elmar Eisemann, and Anna Vilanova
Computer Graphics Forum, 2018
Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, and Klaus Hildebrandt
ACM Transactions on Graphics, 2018
Na Li, Vincent van Unen, Thomas Höllt, Allan Thompson, Jeroen van Bergen, et al.
J Exp Med, 2018

2017

Cloud reflection for a flood in the city of Rotterdam due to a hypothetical scenario of heavy rainfall (100 mm/h)
Johannes G. Leskens, Christian Kehl, Tim Tutenel, Timothy R. Kol, Gerwin de Haan, et al.
Mitig Adapt Strateg Glob Chang, 2017
Analysis of the CD4+ T-cell compartment in inflammatory intestinal diseases. a Third HSNE level embedding of the CD4+ T cells (1.4 × 106 cells, selected in Fig. 3). Color and size of landmarks as described in Fig. 3. Right panel shows density features for the level 3 embedding. Blue encirclement indicates selection of landmarks representing CD28−CD4+ T cells. b Embedding of the CD28−CD4+ T cells (2.6 × 104 cells) at single-cell resolution. Bottom-left panel shows yellow and black dashed encirclements based on CD56− and CD56+ expression, respectively. Three bottom-right panels show cells colored according to: (left) from subjects with different disease status (CeD, Crohn, EATLII, RCDII, and controls), (middle) sampling status (annotated subset, discarded by ACCENSE and downsampled) and (right) tissue-of-origin (blood and intestine)
Vincent van Unen, Thomas Höllt, Nicola Pezzotti, Na Li, Marcel Reinders, et al.
Nat Commun, 2017
: (Top) Virtual environment set-up for static scenario as seen by participants. (Bottom) Insets of exemplary stimulus on the 3rd right sphere, shown for white (left) and black (right) interpolation (effect exaggerated for depiction).
Steve Grogorick, Michael Stengel, Elmar Eisemann, and Marcus Magnor
In Proceedings of SAP, 2017
Split-depth frames over time generated by our approach. Via an occlusion cue, split-depth images can induce a 3D effect
Jingtang Liao, Martin Eisemann, and Elmar Eisemann
Computer Graphics Forum, 2017
Fur design on the bunny mesh. Left: constraints and resulting tangential vector field spline, right: output field visualized as fur on the bunny
Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, and Klaus Hildebrandt
Computer Graphics Forum, 2017
Retinal photoreceptor distribution. Image adapted from Goldstein
Martin Weier, Michael Stengel, Thorsten Roth, Piotr Didyk, Elmar Eisemann, et al.
Computer Graphics Forum, 2017
The PelVis prototype application featuring the 3D model on the left and a linked MRI and unfolded view visualization on the right
Noeska Natasja Smit, Kai Lawonn, Anne C. Kraima, Marco C. Deruiter, Hessam Sokooti, et al.
IEEE Transactions on Visualization and Computer Graphics, 2017
: Three dODF-based glyphs for (a) an ensemble with gradually varying shape and orientation and two ensembles of linear tensors with crossing angle of (b) 60 ° and (c) 45 °, respectively. The variation threshold is set to 60% of the maximum variation. The ensembles are illustrated by the small black icons on top.
Changgong Zhang, Matthan Caan, Thomas Höllt, Elmar Eisemann, and Anna Vilanova
Computer Graphics Forum, 2017