10 September 2007 What the human eye tells the brain: a new approach toward a hardware-based modeling of mental functions
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Abstract
A better understanding of intelligent information processing in human vision can be reached through a closer look at the macro- and micro-hardware available in the hierarchy of cortical processors along the main visual pathway connecting the retina, the CGL (corpus geniculatum laterale) and area V1 (cortical visual area 17). The building of the eye is driven by the brain and the engineering of the main visual pathway back to V1 seems to be driven by the eyes. The human eye offers to the brain much more intelligent information about the outer visible world than a camera producing flat 2D images on a CCD. Intelligent processing of visual information in human vision - a strong cooperation between eyes and brain - relays on axes related symmetry operations relevant for navigation in 4D spectral space-times, on a hierarchy of dynamically balanced equilibrium states, on diffractive-optical transformation of the Visible into RGB space, on range mapping based on RGB data (monocular and binocular 3D vision), on illuminant-adaptive optical correlations of local onto global RGB data (color constancy performances) and on invariant fourier-optical log-polar processing of image data (generic object classification; identification of objects). These performances are more compatible with optical processing of modern diffractive-optical sensors and interference-optical correlators than with cameras. The R+D project NAMIROS (Nano- and Micro-3D gratings for Optical Sensors) [8], coordinated by an interdisciplinary team of specialists at Corrsys 3D Sensors AG, describes the roadmap towards a technical realization of outstanding high-tech performances corresponding to human eye-brain co-processing.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Lauinger, N. Lauinger, } "What the human eye tells the brain: a new approach toward a hardware-based modeling of mental functions", Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 676406 (10 September 2007); doi: 10.1117/12.733648; https://doi.org/10.1117/12.733648
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