研究目的
To investigate whether sensitivity to changes in illumination is affected by the stability of the surface reflectance layout in the scene, comparing fixed and shuffled surface conditions.
研究成果
Illumination discrimination is significantly impaired when surface reflectances are shuffled, indicating that fine discrimination relies on fixed surface layouts. However, coarse discrimination is still possible above chance levels. Eye fixation patterns in the fixed-surfaces condition predict performance, but not in the shuffled condition. The results suggest that global scene averages alone are insufficient for illumination discrimination, and localized information is important.
研究不足
The study used synthetic scenes with saturated colors, which may not fully represent natural viewing conditions. The surface shuffling preserved mean reflectance but did not vary geometric layout. Potential learning effects in the fixed-surfaces condition were not controlled. Eye tracking data had some exclusions due to technical issues.
1:Experimental Design and Method Selection:
The study used a psychophysical approach with computer-generated scenes rendered using Blender and Mitsuba. Illumination discrimination thresholds were measured using a 1-up-2-down staircase procedure.
2:Sample Selection and Data Sources:
Observers were recruited with normal vision; stimuli were synthetic scenes with controlled surface reflectances and illuminations.
3:List of Experimental Equipment and Materials:
Custom stereo-display apparatus with LCD monitors, eye tracker (EyeLink 1000), calibrated radiometer (PR-670 SpectraScan), and software (MATLAB, Psychophysics Toolbox, mgl, Blender, Mitsuba, RenderToolbox3).
4:3). Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Observers viewed sequences of three stimulus intervals (reference and two comparisons) and responded which comparison illumination was most similar to the target. Eye movements were recorded in Experiment
5:Data Analysis Methods:
Thresholds were extracted using psychometric function fitting (Weibull) with Palamedes Toolbox; ANOVA and correlation analyses were used for statistical evaluation.
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Video card
NVIDIA GeForce GT120
NVIDIA
Driving the monitors for stimulus presentation
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LCD color monitor
NEC MultiSync PA241W
NEC Display Solutions
Displaying stimulus images stereoscopically
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Radiometer
PR-670 SpectraScan
Photo Research Inc
Calibrating monitors by measuring spectral power distributions and gamma functions
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Eye tracker
EyeLink 1000, Desktop Mount
SR Research
Recording eye movements at 1000 Hz
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Software
MATLAB
MathWorks
Writing experimental programs and data analysis
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Software
Psychophysics Toolbox
Routines for psychophysical experiments
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Software
mgl
Routines for display and eye tracking communication
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Software
Blender
3D modeling and animation of stimulus scenes
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Software
Mitsuba
Physically-based rendering of scenes
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Software
RenderToolbox3
Managing rendering and specifying spectral properties
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Software
Palamedes Toolbox
Fitting psychometric functions for threshold extraction
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