2018

Lemmy Schakel, Dieuwke S. Veldhuijzen, Henriët van Middendorp, Pieter van Dessel, Jan de Houwer, et al.
PLoS One, 2018
J. Timothy Balint, Jan M. Allbeck, and Rafael Bidarra
In Proceedings of FDG, 2018
Ulf Assarsson, Markus Billeter, Dan Dolonius, Elmar Eisemann, Alberto Jaspe, et al.
In Proceedings of Eurographics (Tutorials), 2018
Tim Buckers, Boning Gong, Elmar Eisemann, and Stephan G. Lukosch
In Proceedings of Superhuman Sports Design Challenge, 2018
Marie Kegeleers, Shivam Miglani, Gijs M. W. Reichert , Nestor Z. Salamon, J. Timothy Balint, et al.
In Proceedings of Superhuman Sports Design Challenge, 2018
Oscar Casares-Magaz, Renata Georgia Raidou, Jarle Roervik, Anna Vilanova, and Ludvig Paul Muren
Phys Imaging Radiat Oncol, 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

2017

Ben Kybartas and Rafael Bidarra
IEEE Trans Comput Intell AI Games, 2017
Retinal photoreceptor distribution. Image adapted from Goldstein
Martin Weier, Michael Stengel, Thorsten Roth, Piotr Didyk, Elmar Eisemann, et al.
Computer Graphics Forum, 2017
A road network generated using our parametric (upper half) and patch-based (lower half) methods
Edward Teng and Rafael Bidarra
In Proceedings of FDG, 2017
Direct visual comparison of two tensor ensembles
Changgong Zhang, Thomas Höllt, Matthan Caan, Elmar Eisemann, and Anna Vilanova
In Proceedings of Visual Computing in Biology and Medicine, 2017
Several reparametrizations ϕ relating professional human performances of Chopin’s Mazurka op. 30 no. 2 to a deadpan MIDI version. Original ϕ with zoomed insets (left) and their derivatives ϕ˙ (right).
Jeroen Peperkamp, Klaus Hildebrandt, and Cynthia C. S. Liem
In Proceedings of ISMIR, 2017
Embeddings of the MNIST dataset using different approximation levels
Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, and Anna Vilanova
IEEE Transactions on Visualization and Computer Graphics, 2017
The same pattern of error can be noted on the vase. In general the error is very low, except at the center of some highlight regions.
Daniel Coutinho, Ricardo Marroquim, Matteo Dellepiane, and Roberto Scopigno
Computers & Graphics, 2017
A simple segmentation scheme using our compressed vibration modes applied to the dinosaur (volumetric) and the centaur (surface) mesh
Christopher Brandt and Klaus Hildebrandt
Comput Aided Geom Des, 2017
WorldBuilder. Top images are from the CSA version, inscene person perspective (left) and edit (right). Bottom images are the war version. Left the inscene Person perspective, right birds-eye perspective. Translated from the original Dutch version
Myrthe L. Tielman, Mark A. Neerincx, Rafael Bidarra, Ben Kybartas, and Willem-Paul Brinkman
J Medical Syst, 2017
Anke Redeker, Ester Remmerswaal, Esmé T.I. van der Gracht , Suzanne Welten, Thomas Höllt, et al.
Front Immunol, 2017
Philipp von Radziewsky, Thomas Kroes, Martin Eisemann, and Elmar Eisemann
IEEE Transactions on Visualization and Computer Graphics, 2017
 A simple segmentation scheme using our compressed vibration modes applied to the dinosaur (volumetric) and the centaur (surface) mesh.
Christopher Brandt and Klaus Hildebrandt
Comput Aided Geom Des, 2017
Light Paintings created with our approach. The production only took minutes, design and modifications are performed in real time.
Nestor Z. Salamon, Marcel Lancelle, and Elmar Eisemann
Computer Graphics Forum, 2017