• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Nanotilus_Generator_of_Immersive_Guided-Tours_in_Crowded_3D_Environments.pdf
    Size:
    28.34Mb
    Format:
    PDF
    Description:
    Publisher's Version/PDF
    Download
    Type
    Article
    Authors
    Alharbi, Ruwayda cc
    Strnad, Ondrej
    Luidolt, Laura R.
    Waldner, Manuela
    Kouril, David
    Bohak, Ciril cc
    Klein, Tobias
    Groeller, Eduard
    Viola, Ivan cc
    KAUST Department
    Computer Science
    Computer Science Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    KAUST Grant Number
    BAS/1/1680-01-01
    Date
    2021-12-09
    Online Publication Date
    2021
    Print Publication Date
    2022
    Permanent link to this record
    http://hdl.handle.net/10754/673990
    
    Metadata
    Show full item record
    Abstract
    Immersive virtual reality environments are gaining popularity for studying and exploring crowded three-dimensional structures. When reaching very high structural densities, the natural depiction of the scene produces impenetrable clutter and requires visibility and occlusion management strategies for exploration and orientation. Strategies developed to address the crowdedness in desktop applications, however, inhibit the feeling of immersion. They result in nonimmersive, desktop-style outside-in viewing in virtual reality. This paper proposesNanotilus---a new visibility and guidance approach for very dense environments that generates an endoscopic inside-out experience instead of outside-in viewing, preserving the immersive aspect of virtual reality. The approach consists of two novel, tightly coupled mechanisms that control scene sparsification simultaneously with camera path planning. The sparsification strategy is localized around the camera and is realized as a multiscale, multishell, variety-preserving technique. When Nanotilus dives into the structures to capture internal details residing on multiple scales, it guides the camera using depth-based path planning. In addition to sparsification and path planning, we complete the tour generation with an animation controller, textual annotation, and text-to-visualization conversion. We demonstrate the generated guided tours on mesoscopic biological models -- SARS-CoV-2 and HIV viruses. We evaluate the Nanotilus experience with a baseline outside-in sparsification and navigational technique in a formal user study with 29 participants. While users can maintain a better overview using the outside-in sparsification, the study confirms our hypothesis that Nanotilus leads to stronger engagement and immersion.
    Citation
    Alharbi, R., Strnad, O., Luidolt, L. R., Waldner, M., Kouril, D., Bohak, C., … Viola, I. (2021). Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments. IEEE Transactions on Visualization and Computer Graphics, 1–1. doi:10.1109/tvcg.2021.3133592
    Sponsors
    The research was supported by the King Abdullah University of Science and Technology (BAS/1/1680-01-01) and KAUST Visualization Core Lab. We thank nanographics.at for providing the Marion software, Alex Kouyoumdjian for insightful comments, and Jules Verne for inspiration.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Visualization and Computer Graphics
    DOI
    10.1109/tvcg.2021.3133592
    Additional Links
    https://ieeexplore.ieee.org/document/9645360/
    ae974a485f413a2113503eed53cd6c53
    10.1109/tvcg.2021.3133592
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.