Volume Conductor

 

Volume Conductor

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

Abstract

We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibility of the instances in each group. Unlike previous smart visibility approaches, our approach controls the visibility on a per-instance basis and decides which instances are displayed or hidden based on the membership predicates and the current view. Thus, cluttered and dense volumes that are notoriously difficult to explore effectively are automatically sparsified so that the essential information is extracted and presented to the user. The proposed system is generic and can be easily integrated into existing volume rendering applications and applied to many different domains. We demonstrate the use of the volume conductor for visualizing 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 of Ljubljana; RA, OS, IV are with KAUST, CH is with University of Passau

Paper:

  • [PDF] Ž. Lesar, R. Alharbi, C. Bohak, O. Strnad, C. Heinzl, M. Marolt, and I. Viola, "Volume conductor : interactive visibility management for crowded volumes," The visual computer, vol. 40, iss. 2, pp. 1005-1020, 2024.
    [Bibtex] 
    @article{147129603,
author={Žiga Lesar and Ruwayda Alharbi and Ciril Bohak and Ondřej Strnad and Christoph Heinzl and Matija Marolt and Ivan Viola},
year={2024},
pages={1005-1020},
volume={40},
title={Volume conductor : interactive visibility management for crowded volumes},
journal={The visual computer},
number={2},
}

Source code:

https://github.com/UL-FRI-LGM/vpt-conductor

Deploy:

http://lgm.fri.uni-lj.si/vpt-conductor/

Paper examples:

Instructions for running:

https://github.com/9ballsyndrome/WebGL_Compute_shader