Computational simulation of human perception of spatially-dependent patterns modulated by degree and angle of linear polarization

Misson, Gary, Temple, Shelby E. and Anderson, Stephen J (2019). Computational simulation of human perception of spatially-dependent patterns modulated by degree and angle of linear polarization. Journal of the Optical Society of America A, 36 (4), B65-B70.


Recent studies on polarization perception have shown that humans are sensitive to patterned stimuli modulated by either angle of linear polarization (AoP) or degree of polarization (DoP). Here, we present a model of human polarization sensitivity that incorporates both AoP and DoP as spatially dependent input variables. Applying the model to both sinusoidal- and square-wave-modulated DoP and AoP inputs, we demonstrate the theoretical similarities and differences generated by such inputs. Our model indicates the following: (i) edge boundaries between two adjacent areas of different linear polarization are preserved for both AoP- and DoP-modulated stimuli; and (ii) compared with DoP stimuli, AoP stimuli generate greater luminance changes at the photoreceptor level, suggesting that AoP-modulated patterns are potentially more salient than DoP patterns. The computational model is supported experimentally with an optical test of the model comprising a radial diattenuating polarizing filter and modified liquid crystal displays generating DoP- and AoP-modulated outputs. Psychophysical measures of human sensitivity confirm the increased salience of AoP- relative to DoP-modulated stimuli. These findings have practical application to the selection of DoP- and AoP-modulated stimuli for the investigation of macular function and macular pigment density in healthy and diseased eyes.

Publication DOI:
Divisions: Life & Health Sciences
Life & Health Sciences > Clinical and Systems Neuroscience
Life & Health Sciences > Vision, Hearing and Language
Life & Health Sciences > Centre for Vision and Hearing Research
Life & Health Sciences > Optometry
Additional Information: © 2018 Optical Society of America. Funding: Innovate UK (grant 900042).
Uncontrolled Keywords: Electronic, Optical and Magnetic Materials,Atomic and Molecular Physics, and Optics,Computer Vision and Pattern Recognition
Full Text Link:
Related URLs: https://www.osa ... =josaa-36-4-b65 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-02-22
Accepted Date: 2019-01-23
Authors: Misson, Gary ( 0000-0001-8843-8389)
Temple, Shelby E.
Anderson, Stephen J ( 0000-0002-5719-2846)



Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 22 February 2020.

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