Volume conductor: interactive visibility management for crowded volumes

Žiga Lesar; Ruwayda Alharbi; Ciril Bohak; Ondrej Strnad; Christoph Heinzl; Matija Marolt; Ivan Viola

doi:10.1007/s00371-023-02828-8

Volume conductor: interactive visibility management for crowded volumes

Žiga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondrej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Journal	The Visual Computer
DOIs	https://doi.org/10.1007/s00371-023-02828-8
State	Published - Mar 29 2023

Bibliographical note

KAUST 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
Software
Computer Vision and Pattern Recognition

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10.1007/s00371-023-02828-8

https://repository.kaust.edu.sa/bitstream/10754/679156/9/s00371-023-02828-8.pdf

Cite this

@article{48bd59d8750149dc829def4571013b0c,

title = "Volume conductor: interactive visibility management for crowded volumes",

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.",

author = "{\v Z}iga Lesar and Ruwayda Alharbi and Ciril Bohak and Ondrej Strnad and Christoph Heinzl and Matija Marolt and Ivan Viola",

note = "KAUST 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.",

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doi = "10.1007/s00371-023-02828-8",

language = "English (US)",

journal = "The Visual Computer",

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AU - Lesar, Žiga

AU - Alharbi, Ruwayda

AU - Bohak, Ciril

AU - Strnad, Ondrej

AU - Heinzl, Christoph

AU - Marolt, Matija

AU - Viola, Ivan

N1 - KAUST 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.

PY - 2023/3/29

Y1 - 2023/3/29

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/679156

UR - https://link.springer.com/10.1007/s00371-023-02828-8

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DO - 10.1007/s00371-023-02828-8

M3 - Article

SN - 0178-2789

JO - The Visual Computer

JF - The Visual Computer

ER -

Volume conductor: interactive visibility management for crowded volumes

Abstract

Bibliographical note

ASJC Scopus subject areas

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