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scenery: Flexible Virtual Reality Visualization on the Java VM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F19%3A10246057" target="_blank" >RIV/61989100:27740/19:10246057 - isvavai.cz</a>

  • Result on the web

    <a href="https://arxiv.org/abs/1906.06726" target="_blank" >https://arxiv.org/abs/1906.06726</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/VISUAL.2019.8933605" target="_blank" >10.1109/VISUAL.2019.8933605</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    scenery: Flexible Virtual Reality Visualization on the Java VM

  • Original language description

    Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data from analysis of such data or simulations. Visualization is often the first step in making sense of data, and a crucial part of building and debugging analysis pipelines. It is therefore important that visualizations can be quickly prototyped, as well as developed or embedded into full applications. In order to better judge spatiotemporal relationships, immersive hardware, such as Virtual or Augmented Reality (VR/AR) headsets and associated controllers are becoming invaluable tools. In this work we introduce scenery, a flexible VR/AR visualization framework for the Java VM that can handle mesh and large volumetric data, containing multiple views, timepoints, and color channels. scenery is free and open-source software, works on all major platforms, and uses the Vulkan or OpenGL rendering APIs. We introduce scenery&apos;s main features and example applications, such as its use in VR for microscopy, in the biomedical image analysis software Fiji, or for visualising agent-based simulations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_013%2F0001791" target="_blank" >EF16_013/0001791: IT4Innovations national supercomputing center - path to exascale</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2019 IEEE Visualization Conference, VIS 2019

  • ISBN

    978-1-72814-941-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    166-170

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Vancouver

  • Event date

    Oct 20, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000527436500034