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A method for computing spectral reflectance.

A Yuille

    Biological Cybernetics
    |January 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Perceived object color depends on surface reflectance, not illumination. This study presents a method to determine surface spectral reflectance from color data, even with varying illumination and 3D shapes.

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    Area of Science:

    • * Visual perception and computational color science.
    • * Investigating the relationship between illumination, surface reflectance, and perceived color.

    Background:

    • * Perceived object color is generally independent of illumination spectrum.
    • * Surface spectral reflectance is the primary determinant of perceived color.
    • * The problem of determining surface reflectance from color measurements is ill-posed.

    Purpose of the Study:

    • * To develop a method for determining surface spectral reflectance from color observations.
    • * To address the underdetermined problem of color constancy.
    • * To generalize the method for complex scenes with varying illumination and 3D shapes.

    Main Methods:

    • * Representing illumination and surface reflectances using basis functions.

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  • * Solving a system of nonlinear equations derived from color patch data.
  • * Developing a color edge detector for material change detection in complex scenes.
  • Main Results:

    • * Demonstrated that surface spectral reflectances can be determined up to a scaling factor using multiple surface patches.
    • * Presented a simple method for solving the derived nonlinear equations.
    • * Extended the method to handle spatially varying illumination and three-dimensional objects.

    Conclusions:

    • * A computational framework exists to recover surface spectral reflectance from color data.
    • * The proposed method offers a solution to the color constancy problem.
    • * Color edge detection and inward propagation enable material property estimation in complex visual environments.