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Lessons from biological processing of image texture

dc.contributor.authorMaddess, Ted
dc.contributor.authorNagai, Yoshinori
dc.contributor.editorNakagawa, Hen_US
dc.contributor.editorIshii, Ken_US
dc.contributor.editorMiyamoto, Hen_US
dc.date.accessioned2007-06-25T07:05:39Zen_US
dc.date.accessioned2011-01-05T08:39:22Z
dc.date.available2007-06-25T07:05:39Zen_US
dc.date.available2011-01-05T08:39:22Z
dc.date.created2004en_US
dc.date.updated2015-12-11T10:32:05Z
dc.description.abstractWhen designing artificial vision systems, it may be useful to examine the solutions 0.5 billion years of biological evolution have produced. Recent studies of human vision; studies of macaque visual cortical function; and behavioural studies of bee vision, all indicate that different species have evolved related approaches for discriminating image textures. This common strategy uses short-range 4th-order spatial correlations. Isotrigon textures, ensemble averages of which have 3rd-order correlation functions that are equal to 0, are useful for studying this sense. Recent results from humans and bees, and methods for producing new isotrigon textures are described.
dc.identifier.citationInternational Congress Series 1269 (2004) pp. 26–29
dc.identifier.issn0531-5131en_US
dc.identifier.urihttp://hdl.handle.net/1885/45288en_US
dc.language.isoenen_US
dc.publisherElsevier
dc.sourceInternational Congress Series
dc.subjecttexture discrimination
dc.subjectisotrigon
dc.subjecttexture recognition
dc.subjectisodipole
dc.subjectbee
dc.subjecthuman
dc.titleLessons from biological processing of image texture
dc.typeJournal article
local.bibliographicCitation.lastpage29
local.bibliographicCitation.startpage26
local.contributor.affiliationThe Australian National University, Centre for Visual Sciences, Research School for Biological Sciencesen_US
local.contributor.authoruidMaddess, Ted, u8103614
local.description.refereedyesen_US
local.identifier.absfor170112 - Sensory Processes, Perception and Performance
local.identifier.ariespublicationMigratedxPub8611
local.identifier.citationvolume1269
local.identifier.doi10.1016/j.ics.2004.04.100
local.rights.ispublishedyesen_US
local.type.statusPublished Version

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