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Disentangling simultaneous changes of surface and illumination.

Robert Ennis¹, Katja Doerschner²

¹Justus-Liebig-Universitaet Giessen, Department of General Psychology, Giessen, Germany.

Vision Research

|February 24, 2019

Summary

Human observers can perceive simultaneous changes in illumination and surface color. Local scene statistics aid this visual perception, suggesting reliance on localized visual cues for color constancy.

Keywords:

Chromatic scene statistic Color constancy Global scene statistics Illumination judgment Local scene statistics Surface constancy

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Area of Science:

Visual perception
Color constancy
Computational vision

Background:

Retinal light is ambiguous due to spectral distributions and material interactions.
Color constancy aims to perceive stable object colors despite changing illumination.
Existing theories often overlook 3D surface changes, focusing on illumination shifts.

Purpose of the Study:

To investigate the visual system's ability to handle simultaneous changes in illumination and surface properties.
To determine the role of scene statistics (global vs. local) in compensating for these changes.
To assess the influence of different visual stimuli (original vs. rendered images) and color axes.

Main Methods:

Used hyperspectral imaging and Mitsuba rendering to create stimuli with varied illumination and surface colors.
Presented observers with sequential image pairs (whole scene, object only, background only).
Quantified perceived changes in illuminant and object color on a 0-100% scale.

Main Results:

Observers successfully extracted simultaneous illumination and reflectance changes when viewing the whole scene.
Global scene statistics did not fully explain observer performance; local scene statistics improved accuracy.
No significant effects were found for color axis, object shape, or image type (original vs. rendered).

Conclusions:

The visual system can process concurrent changes in illumination and surface reflectance.
Observers utilize both global and local scene information, with a notable benefit from local cues.
The findings suggest a reliance on diverse local visual information for achieving color constancy.