Interactive Visibility Management
for Crowded Volumes
This is a collaboration research between: (1) Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, (2) Nanovisualization group in Visual Computing Center at King Abdullah University of Science and Technology, and (3) Research Group Computed Tomography at the Research Center Wels at the University of Applied Sciences Upper Austria
We present a novel smart visibility technique for visualizing volumetric data that contain many instances of objects with a set of properties. First, the user forms groups of instances by providing a set of membership rules. Next, the visibility of the instances in each group is controlled by the user. Unlike previous smart visibility approaches, our approach controls the visibility on a per-instance basis and decides which instances will be displayed or hidden based on the membership rules and the current view. This way cluttered and dense volumes that are notoriously difficult to effectively explore will be automatically sparsified so that the essential information will be visible to the user. We demonstrate the use of the Volume Conductor on the case of fiber-reinforced polymers and intracellular organelle structures.
The collaborators on this work are:
Žiga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondřej Strnad, Christoph Heinzl, Ivan Viola
ŽL, CB are with University Ljubljana; RA, OS, IV are with KAUST, CH is with University of Applied Sciences Upper Austria