2013

Dimitri Slappendel, Fanny Lie, Martijn de Vos, Alex Kolpa, and Rafael Bidarra
In Proceedings of Advances in Computer Entertainment, 2013
Renato Farias, Ricardo Farias, Ricardo Marroquim, and Esteban Clua
In Proceedings of SIBGRAPI, 2013
Anne C. Kraima, Noeska Natasja Smit, Daniel Jansma, N.P. West, P. Quirke, et al.
Clin Anat, 2013
Aida Azadegan, Jannicke Balsruud Hauge, Francesco Bellotti, Riccardo Berta, Rafael Bidarra, et al.
In Proceedings of GALA, 2013
R.F.P. van Pelt and Anna Vilanova
Computer, 2013
Anne C. Kraima, Noeska Natasja Smit, Daniel Jansma, C. Wallner, R.L.A.W. Bleys, et al.
Clin Anat, 2013
Daniel F. Malan, Charl P. Botha, and Edward R. Valstar
International Journal of Computer Assisted Radiology and Surgery, 2013
V. Prckovska, Alard F. Roebroeck, Pim Pullens, Anna Vilanova, and B.M. ter Haar Romeny
Int J Biomed Imaging, 2013
Pedro Silva, Pascal Mueller, Rafael Bidarra, and Antonio Coelho
In Proceedings of PCG Workshop, 2013
Christian Kehl, Tim Tutenel, and Elmar Eisemann
In Proceedings of ICT Open, 2013

2012

Integrated visualization of multi-modal multi-timepoint small animal imaging data with the cvp
Peter Kok, Jouke Dijkstra, Boudewijn P. F. Lelieveldt, and Charl P. Botha
In Proceedings of TOPIM - Hot Topics in Molecular Imaging, 2012
Snapshots of our 3D framework, visualizing an example of simulation
Rafael Hocevar, Fernando Marson, Vinicius Cassol, Henry Braun, Rafael Bidarra, and Soraia R. Musse
In Proceedings of IVA, 2012
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
ACM Transactions on Graphics, 2012
Francesco Banterle, Alessandro Artusi, Tunc Aydin, Piotr Didyk, Elmar Eisemann, et al.
In Proceedings of Eurographics (Tutorials), 2012
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
In Proceedings of Vision, Modeling, and Visualization, 2012
Voorspellen van visueel functieverlies door epilepsiechirurgie
B.M. ter Haar Romeny, C. Tax, R. Duits, Anna Vilanova, C. Jacobs, et al.
Epilepsie : Periodiek voor Professionals, 2012
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
Computer Graphics Forum, 2012
Antonio Brisson, G. Pereira, Rui Prada, Ana Paiva, Sandy Louchart, et al.
In Proceedings of AAAI Workshop on Human Computation in Digital Entertainment and Artificial Intelligence for Serious Games, co-located with AIIDE 2012 - 8th Conference on Artificial Intelligence and Interactive Digital Entertainment, 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
Computer Graphics Forum, 2012
From left to right: rendering of the publicly available bonsai data set, which demonstrates that our method is able to render very thin participating media, Manix and Backpack data set. The examples illustrate how volumetric and surface scattering can be effectively combined in a single volume rendering
Thomas Kroes, Frits H. Post, and Charl P. Botha
PLoS One, 2012