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Related Experiment Video

Updated: Jan 1, 2026

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    This study introduces a new method using thermal imaging to analyze light transport over time. By capturing transient far infrared light, it enables surface normal estimation for various objects, advancing computer vision applications.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Thermal Imaging

    Background:

    • Analyzing light transport is crucial for understanding object properties.
    • Conventional methods struggle with real-time decomposition of light transport.
    • Thermal imaging offers a unique perspective due to the slower speed of heat compared to light.

    Purpose of the Study:

    • To develop a novel time-resolved light transport decomposition method.
    • To leverage thermal imaging for analyzing transient far infrared light.
    • To enable surface normal estimation using computer vision techniques on thermal data.

    Main Methods:

    • Utilizing time-resolved thermal imaging to capture transient far infrared light.
    • Applying conventional computer vision techniques to thermal images.
    • Separating the diffuse component in thermal images for photometric stereo analysis.

    Main Results:

    • Demonstrated the feasibility of observing transient light transport at video frame rates.
    • Successfully separated diffuse light transport components from thermal images.
    • Estimated surface normals using Lambertian photometric stereo on thermal data.

    Conclusions:

    • The proposed method effectively decomposes time-resolved light transport using thermal imaging.
    • The approach is applicable to various materials including black body, transparent, and translucent objects.
    • This technique opens new avenues for non-invasive material analysis and 3D reconstruction.