The effect of image position on the Independent Components of natural binocular images
Autor: | Paul B. Hibbard, David Hunter |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Fovea Centralis
Vision Disparity genetic structures media_common.quotation_subject lcsh:Medicine 050105 experimental psychology Article Visual processing 03 medical and health sciences 0302 clinical medicine Position (vector) Vision Monocular Humans 0501 psychology and cognitive sciences Computer vision Eccentricity (behavior) lcsh:Science Mathematics media_common Depth Perception Vision Binocular Multidisciplinary business.industry Angular distance 05 social sciences lcsh:R Centroid Independent component analysis eye diseases Computer Science::Computer Vision and Pattern Recognition lcsh:Q Artificial intelligence Astrophysics::Earth and Planetary Astrophysics business Depth perception Monocular vision 030217 neurology & neurosurgery |
Zdroj: | Scientific Reports, Vol 8, Iss 1, Pp 1-15 (2018) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | Human visual performance degrades substantially as the angular distance from the fovea increases. This decrease in performance is found for both binocular and monocular vision. Although analysis of the statistics of natural images has provided significant insights into human visual processing, little research has focused on the statistical content of binocular images at eccentric angles. We applied Independent Component Analysis to rectangular image patches cut from locations within binocular images corresponding to different degrees of eccentricity. The distribution of components learned from the varying locations was examined to determine how these distributions varied across eccentricity. We found a general trend towards a broader spread of horizontal and vertical position disparity tunings in eccentric regions compared to the fovea, with the horizontal spread more pronounced than the vertical spread. Eccentric locations above the centroid show a strong bias towards far-tuned components, eccentric locations below the centroid show a strong bias towards near-tuned components. These distributions exhibit substantial similarities with physiological measurements in V1, however in common with previous research we also observe important differences, in particular distributions of binocular phase disparity which do not match physiology. |
Databáze: | OpenAIRE |
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