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VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality.

Saeed Boorboor, Matthew S Castellana, Yoonsang Kim

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    Summary
    This summary is machine-generated.

    VoxAR enhances augmented reality (AR) visualizations on optical see-through head-mounted displays (OST-HMDs). It optimizes virtual object placement and adjusts colors for clearer perception of scientific data in real-world environments.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Scientific Visualization

    Background:

    • Augmented reality (AR) offers potential for integrating digital scientific data into the physical world.
    • Optical see-through head-mounted displays (OST-HMDs) face challenges with virtual object pixels interfering with real-world colors, hindering accurate perception.
    • Effective visualization of volume-rendered data in OST-HMDs requires addressing visibility issues.

    Purpose of the Study:

    • To develop a method, VoxAR, for effective visualization of volume-rendered objects in OST-HMDs.
    • To overcome the limitations of virtual object pixel interference with real-world colors in OST-HMDs.
    • To improve the accurate perception of augmented virtual information.

    Main Methods:

    • A two-step approach: 1) Spatial and environmental objective-based placement of volume-rendered objects in real-world scenes using GPU shader language for real-time performance.
    • 2) Adjustment of transfer function (TF) colors based on placement region to ensure pixel discernibility and maintain perceptual data mapping.
    • Novel optimization method for TF color adjustment.

    Main Results:

    • VoxAR successfully determines optimal object placement in real-time.
    • The method adjusts TF colors for improved visibility of volume-rendered objects against real-world backgrounds.
    • User studies and objective evaluations demonstrate the effectiveness of the approach.

    Conclusions:

    • VoxAR provides an effective solution for visualizing volume-rendered data in OST-HMDs.
    • The method enhances the perception of augmented scientific information by addressing color interference.
    • VoxAR facilitates better interpretation of scientific data through improved AR visualizations.