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.
Bibliographical noteKAUST Repository Item: Exported on 2023-04-04
Acknowledged KAUST grant number(s): BAS/1/1680-01-01
Acknowledgements: Open access publishing supported by the Slovenian Research Agency and Central Technical Library in Ljubljana. The research was partially supported by the King Abdullah University of Science and Technology—award number BAS/1/1680-01-01, partially by funding from the Austrian Research Promotion Agency (FFG) within the program line “TAKE OFF,” FFG Grant No. 874540 “BeyondInspection,” and by research subsidies granted by the government of Upper Austria during the “X-Pro” project. The authors would like to thank Julia Maurer from the University of Applied Sciences, Upper Austria, for providing carbon-fiber-reinforced polymer data and the presented use cases; Samo Hudoklin and Rok Romih from the University of Ljubljana for providing cell structure data and the presented use cases.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition