29 October 1996 Inverted retina of the human eye: a trichromatic 4D space-time optical correlator
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If the nuclear retinal layers of the human eye are interpreted as 3D phase gratings, the aperture effects in human vision, namely the Stiles-Crawford effects I and II and trichromatic vision, can be explained in terms of interference optics. A multilayer grating situated in the image plane of the eye fixes the direction of the diffraction orders through its 3D geometry. The ratio between (lambda) ' or (nu) ' of the light cone incident at an angle and (lambda) and (nu) of the cone incident at 0 degrees can thus be differentiated as a brightness, hue and saturation shift in 3 chromatic RGB diffraction orders in the near field behind the grating, thus providing information on the relative position, distance, 3D shape and movement of objects in the 3D space. The direction cosine of the light cones in the von Laue equation means that lateral distances and movements relative to the visual axis and longitudinal movements relative to the focused distance give rise to the aperture effects and a space-time microrelief of the 3D world. This is regarded as an optical basis for monocular spatial vision and motion detection. Temporal patterns in human vision therefore produce spatial patterns and movement information and vice versa. The intrinsic oscillations of the nuclear layers transform the constant interference-optical object representations become possible. The interference-optical local lateral connections and the retinal feedback NN structure allow the possibility of parallel-optical image correlation in real time. The psychophysical transformations in the retinal 3D grating correspond to an image transformation into a reciprocal grating; the retinal clock is set adaptively by means of (lambda) max of the 111 diffraction order and via the trichromatic white standard.
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Norbert Lauinger, Norbert Lauinger, } "Inverted retina of the human eye: a trichromatic 4D space-time optical correlator", Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); doi: 10.1117/12.256292; https://doi.org/10.1117/12.256292

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