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Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

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Published on: June 21, 2019

Hiding in Plain Sight: Camouflaging Real-world Objects.

Dong-Yi Wu, Tong-Yee Lee

    IEEE Transactions on Visualization and Computer Graphics
    |June 25, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new 3D camouflage method using inverse rendering. It optimizes appearance for realistic light interactions, achieving robust concealment across various views and lighting conditions.

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    Published on: February 19, 2018

    Area of Science:

    • Computer Vision
    • Computational Imaging
    • Optics

    Background:

    • Nature's camouflage provides effective evasion through seamless blending.
    • Replicating 3D camouflage is challenging due to varying backgrounds and light conditions.
    • Existing 2D methods and simplistic 3D texture approaches fail under realistic illumination.

    Purpose of the Study:

    • To develop a novel paradigm for 3D camouflage.
    • To overcome limitations of current texture-based and image-based camouflage methods.
    • To achieve robust and physically consistent 3D concealment.

    Main Methods:

    • Formulating 3D camouflage as a multiview inverse rendering problem.
    • Optimizing appearance within a physically based rendering framework.
    • Combining BSDF material representation with anamorphic surface displacement.

    Main Results:

    • The proposed method produces perceptually convincing and physically consistent camouflage.
    • Achieved robust concealment across diverse viewpoints and lighting scenarios.
    • Outperformed prior image-based camouflage methods significantly.

    Conclusions:

    • The new physically grounded approach represents a significant advancement in 3D camouflage.
    • This method enables camouflage that adapts to viewpoint and illumination changes.
    • Paves the way for practical, real-world 3D camouflage applications.