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Related Concept Videos

Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
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Estimating diffusion parameters from polarized spherical-gradient illumination.

Yufeng Zhu, Pradeep Garigipati, Pieter Peers

    IEEE Computer Graphics and Applications
    |May 9, 2014
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    Summary
    This summary is machine-generated.

    This study presents a new method to determine subsurface scattering properties of translucent materials directly from surface observations. It accurately captures scattering parameters without complex fitting, validating its effectiveness on diverse objects.

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    Area of Science:

    • Optics
    • Material Science
    • Computer Vision

    Background:

    • Accurate subsurface scattering parameter estimation is crucial for realistic rendering and analysis of translucent materials.
    • Existing methods often rely on complex fitting procedures or simplified material models.
    • Heterogeneous and curved surfaces pose significant challenges for current acquisition techniques.

    Purpose of the Study:

    • To develop a novel method for directly acquiring subsurface scattering parameters of heterogeneous translucent materials.
    • To enable dense, per-surface-point parameter estimation without explicit profile fitting.
    • To demonstrate the method's validity across a range of complex objects.

    Main Methods:

    • Utilizes observations from cross-polarized spherical-gradient illumination on curved surfaces.
    • Directly computes scattering parameters from captured data.
    • Avoids iterative fitting or predefined scattering profile models.

    Main Results:

    • Successfully acquired dense subsurface scattering parameters for heterogeneous translucent materials.
    • Demonstrated accurate parameter estimation directly from surface observations.
    • Validated the method's performance on various complex, curved objects.

    Conclusions:

    • The proposed method offers a direct and efficient approach to characterizing subsurface scattering in challenging materials.
    • It overcomes limitations of traditional fitting-based methods.
    • Provides a robust tool for applications requiring precise optical property estimation of translucent objects.