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Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
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Dense Lissajous sampling and interpolation for dynamic light-transport.

Xiaomeng Liu, Kristofer Henderson, Joshua Rego

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    This study introduces novel Lissajous sampling control for dynamic light-transport capture, enabling accurate relighting of water drops and non-line-of-sight imaging. The improved hardware and algorithms speed up data acquisition and recovery for complex light scattering effects.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Optics

    Background:

    • Capturing dynamic light transport accurately and efficiently remains a significant challenge.
    • Existing methods struggle with the complexity of light interactions in real-time scenes.

    Purpose of the Study:

    • To develop a faster and more accurate method for dynamic light-transport capture.
    • To explore novel control strategies for Lissajous sampling in light-transport applications.
    • To enable applications like relighting dynamic elements and non-line-of-sight imaging.

    Main Methods:

    • Integration of classical Lissajous sampling with new control strategies.
    • Introduction of an improved Lissajous projector hardware design using microelectromechanical (MEMS) mirrors.
    • Hardware-based Lissajous subsampling acceleration for dual light transport frames.
    • Investigation of interpolation algorithms for reconstructing missing data.

    Main Results:

    • Demonstration of complex light scattering effects with dense angular sampling.
    • Successful dual non-line-of-sight (NLoS) capture of dynamic scenes.
    • Progress in speeding up hardware-based dynamic light transport capture.

    Conclusions:

    • The proposed approach represents a significant advancement in dynamic light-transport capture.
    • This work is a foundational step towards adaptive Lissajous control for dynamic scenes.
    • The developed techniques show promise for real-world applications in relighting and NLoS imaging.