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Titolo:
Information limit on the spatial integration of local orientation signals
Autore:
Dakin, SC;
Indirizzi:
Univ Coll London, Inst Ophthalmol, London EC1V 9EL, England Univ Coll London London England EC1V 9EL almol, London EC1V 9EL, England
Titolo Testata:
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
fascicolo: 5, volume: 18, anno: 2001,
pagine: 1016 - 1026
SICI:
1084-7529(200105)18:5<1016:ILOTSI>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
TEXTURE-DISCRIMINATION; PROBABILITY SUMMATION; CONTOUR INTEGRATION; MOTION PERCEPTION; CONTRAST; PSYCHOPHYSICS; SENSITIVITY; UNCERTAINTY; FILTERS; VISION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
52
Recensione:
Indirizzi per estratti:
Indirizzo: Dakin, SC Univ Coll London, Inst Ophthalmol, 11-43 Bath St, London EC1V 9EL, England Univ Coll London 11-43 Bath St London England EC1V 9EL England
Citazione:
S.C. Dakin, "Information limit on the spatial integration of local orientation signals", J OPT SOC A, 18(5), 2001, pp. 1016-1026

Abstract

Channel-based models of human spatial vision require that the output of spatial filters be peeled across space. This pooling yields global estimates of local feature attributes such as orientation that are useful in situations in which that attribute may be locally variable, as is the case for visual texture, The spatial characteristics of orientation summation are considered in the study. By assessing the effect of orientation variability on observers? ability to estimate the mean orientation of spatially unstructuredtextures, one can determine both the internal noise on each orientation sample and the number of samples being pooled. By a combination of fixing andcovarying the size of textured regions and the number of elements constituting them, one can then assess the effects of the texture's size, density, and numerosity (the number of elements present) on the internal noise and the sampling density. Results indicate that internal noise shows a primary dependence on texture density but that. counterintuitively, subjects rely ona sample size approximately equal to a fixed power of the number of samples present, regardless of their spatial arrangement.. Orientation pooling isentirely flexible with respect to the position of input features. (C) 2001Optical Society of America.

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Documento generato il 31/03/20 alle ore 10:28:20