Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.

Observers make sense of scenes by parsing images on the retina into meaningful objects. This ability is retained for line drawings, demonstrating that critical information is concentrated at object boundaries. Information theoretic studies argue for further concentration at points of maximum curvatu...

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Autores principales: J Edwin Dickinson, Jason Bell, David R Badcock
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/ef78cb49abb44efcb12ca7f56eb71c56
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spelling oai:doaj.org-article:ef78cb49abb44efcb12ca7f56eb71c562021-11-18T07:43:21ZNear their thresholds for detection, shapes are discriminated by the angular separation of their corners.1932-620310.1371/journal.pone.0066015https://doaj.org/article/ef78cb49abb44efcb12ca7f56eb71c562013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23741521/?tool=EBIhttps://doaj.org/toc/1932-6203Observers make sense of scenes by parsing images on the retina into meaningful objects. This ability is retained for line drawings, demonstrating that critical information is concentrated at object boundaries. Information theoretic studies argue for further concentration at points of maximum curvature, or corners, on such boundaries [1]-[3] suggesting that the relative positions of such corners might be important in defining shape. In this study we use patterns subtly deformed from circular, by a sinusoidal modulation of radius, in order to measure threshold sensitivity to shape change. By examining the ability of observers to discriminate between patterns of different frequency and/or number of cycles of modulation in a 2x2 forced choice task we were able to show, psychophysically, that difference in a single cue, the periodicity of the corners (specifically the polar angle between two points of maximum curvature) was sufficient to allow discrimination of two patterns near their thresholds for detection. We conclude that patterns could be considered as labelled for this measure. These results suggest that a small number of such labels might be sufficient to identify an object.J Edwin DickinsonJason BellDavid R BadcockPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e66015 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
J Edwin Dickinson
Jason Bell
David R Badcock
Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
description Observers make sense of scenes by parsing images on the retina into meaningful objects. This ability is retained for line drawings, demonstrating that critical information is concentrated at object boundaries. Information theoretic studies argue for further concentration at points of maximum curvature, or corners, on such boundaries [1]-[3] suggesting that the relative positions of such corners might be important in defining shape. In this study we use patterns subtly deformed from circular, by a sinusoidal modulation of radius, in order to measure threshold sensitivity to shape change. By examining the ability of observers to discriminate between patterns of different frequency and/or number of cycles of modulation in a 2x2 forced choice task we were able to show, psychophysically, that difference in a single cue, the periodicity of the corners (specifically the polar angle between two points of maximum curvature) was sufficient to allow discrimination of two patterns near their thresholds for detection. We conclude that patterns could be considered as labelled for this measure. These results suggest that a small number of such labels might be sufficient to identify an object.
format article
author J Edwin Dickinson
Jason Bell
David R Badcock
author_facet J Edwin Dickinson
Jason Bell
David R Badcock
author_sort J Edwin Dickinson
title Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
title_short Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
title_full Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
title_fullStr Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
title_full_unstemmed Near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
title_sort near their thresholds for detection, shapes are discriminated by the angular separation of their corners.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/ef78cb49abb44efcb12ca7f56eb71c56
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AT davidrbadcock neartheirthresholdsfordetectionshapesarediscriminatedbytheangularseparationoftheircorners
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