vision modeling
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2018 ◽  
Author(s):  
Louis Gaudart ◽  
Jean Gaudart

AbstractIn the present study, binocular vision properties were modeled using a single elementary wavelet. Opponent responses (ON-OFF) appeared in the first stages of the neural coding in the retina. This property was assumed to build an adequate wavelet showing a positive part (On) and a negative part (OFF). We have examined the experimental orientation and position disparity given by Bishop. We assumed that the theoretical position disparity was given by a combination of two wavelets for a given orientation disparity β. A change in β implied a change in the magnitude of one of the wavelets and consequently a change in the wavelets combination. There was a close match between the theoretical and experimental position disparity curves according to the changes in orientation disparity.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 27659-27670 ◽  
Author(s):  
Chunlei Li ◽  
Guangshuai Gao ◽  
Zhoufeng Liu ◽  
Miao Yu ◽  
Di Huang

2017 ◽  
Author(s):  
Jacek Turski

I elaborate binocular geometry with a novel eye model that incorporates the fovea’s temporalward displacement and the cornea and the lens’ misalignment. The formulated binocular correspondence results in longitudinal horopters that are conic sections resembling empirical horopters. When the eye model’s asymmetry parameters’ range is that which is observed in healthy eyes, abathic distance also falls within its experimentally observed range. This range in abathic distance is similar to that of the vergence resting position distance. Further, the conic’s orientation is specified by the eyes’ version angle, integrating binocular geometry with eye movement. This integration presents the possibility for modeling 3D perceptual stability during physiological eye movements.OCIS codes: (330.1400) Vision - binocular and stereopsis; (330.4060) Vision modeling


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