An overview of quantitative approaches in Gestalt perception
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Jaekel, Frank | |
dc.contributor.author | Singh, Manish | |
dc.contributor.author | Wichmann, Felix A. | |
dc.contributor.author | Herzog, Michael H. | |
dc.date.accessioned | 2021-12-23T16:21:12Z | - |
dc.date.available | 2021-12-23T16:21:12Z | - |
dc.date.issued | 2016 | |
dc.identifier.issn | 00426989 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/13767 | - |
dc.description.abstract | Gestalt psychology is often criticized as lacking quantitative measurements and precise mathematical models. While this is true of the early Gestalt school, today there are many quantitative approaches in Gestalt perception and the special issue of Vision Research ``Quantitative Approaches in Gestalt Perception'' showcases the current state-of-the-art. In this article we give an overview of these current approaches. For example, ideal observer models are one of the standard quantitative tools in vision research and there is a clear trend to try and apply this tool to Gestalt perception and thereby integrate Gestalt perception into mainstream vision research. More generally, Bayesian models, long popular in other areas of vision research, are increasingly being employed to model perceptual grouping as well. Thus, although experimental and theoretical approaches to Gestalt perception remain quite diverse, we are hopeful that these quantitative trends will pave the way for a unified theory. (C) 2016 Elsevier Ltd. All rights reserved. | |
dc.description.sponsorship | National Institutes of Health (NIH)United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [EY021494]; Swiss National Science Foundation (SNF) Project ``Basics of visual processing: From retinotopic encoding to non-retinotopic representations''; German Federal Ministry of Education and Research (BMBF) through the Bernstein Computational Neuroscience Program TubingenFederal Ministry of Education & Research (BMBF) [FKZ: 01GQ1002]; NATIONAL EYE INSTITUTEUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Eye Institute (NEI) [R01EY021494] Funding Source: NIH RePORTER; MS was supported by National Institutes of Health (NIH) Grant EY021494. MHH was supported by the Swiss National Science Foundation (SNF) Project ``Basics of visual processing: From retinotopic encoding to non-retinotopic representations''. FAW was funded, in part, by the German Federal Ministry of Education and Research (BMBF) through the Bernstein Computational Neuroscience Program Tubingen (FKZ: 01GQ1002). | |
dc.language.iso | en | |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | |
dc.relation.ispartof | VISION RESEARCH | |
dc.subject | Bayesian models | |
dc.subject | CODING THEORY | |
dc.subject | Gestalt | |
dc.subject | Grouping | |
dc.subject | Ideal observer | |
dc.subject | MOTION | |
dc.subject | Neurosciences | |
dc.subject | Neurosciences & Neurology | |
dc.subject | Ophthalmology | |
dc.subject | ORGANIZATION | |
dc.subject | Perception | |
dc.subject | Perceptual organization | |
dc.subject | Pragnanz | |
dc.subject | Psychology | |
dc.subject | SHAPE | |
dc.subject | SIMPLICITY | |
dc.title | An overview of quantitative approaches in Gestalt perception | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.visres.2016.06.004 | |
dc.identifier.isi | ISI:000382712600002 | |
dc.description.volume | 126 | |
dc.description.issue | SI | |
dc.description.startpage | 3 | |
dc.description.endpage | 8 | |
dc.contributor.orcid | 0000-0002-2592-634X | |
dc.identifier.eissn | 18785646 | |
dc.publisher.place | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND | |
dcterms.isPartOf.abbreviation | Vision Res. | |
dcterms.oaStatus | Bronze |
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geprüft am 15.05.2024