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Visualization Techniques in Augmented Reality: A Taxonomy, Methods and Patterns.

Stefanie Zollmann, Tobias Langlotz, Raphael Grasset

    IEEE Transactions on Visualization and Computer Graphics
    |April 11, 2020
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    Summary
    This summary is machine-generated.

    New Augmented Reality (AR) frameworks enable easier development, increasing the need for effective visualization techniques. This work provides a taxonomy to help researchers and developers apply AR visualization methods successfully.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Visualization

    Background:

    • Augmented Reality (AR) frameworks have democratized application development.
    • This has led to diverse AR applications and a growing need for effective visualization techniques.
    • Understanding AR visualization is crucial for a broader audience.

    Purpose of the Study:

    • To provide a comprehensive taxonomy of existing Augmented Reality visualization techniques.
    • To equip researchers and developers with knowledge for applying AR visualization.
    • To analyze common patterns, components, and methods in AR visualization.

    Main Methods:

    • Literature review and analysis of existing Augmented Reality visualization techniques.
    • Development of a structured taxonomy based on identified characteristics.
    • Description of essential components and methods for AR visualization implementation.

    Main Results:

    • A structured taxonomy categorizing various AR visualization techniques.
    • Identification of key components and methods commonly used in AR visualization.
    • Analysis of prevalent patterns in the design and application of AR visualizations.

    Conclusions:

    • The developed taxonomy serves as a valuable resource for navigating AR visualization techniques.
    • It empowers developers and researchers to effectively implement visualization in AR environments.
    • This work facilitates broader adoption and innovation in Augmented Reality applications.