Lessons from biological processing of image texture
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Maddess, Ted; Nagai, Yoshinori
Description
When 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...[Show more]
dc.contributor.author | Maddess, Ted | |
---|---|---|
dc.contributor.author | Nagai, Yoshinori | |
dc.contributor.editor | Nakagawa, H | |
dc.contributor.editor | Ishii, K | |
dc.contributor.editor | Miyamoto, H | |
dc.date.accessioned | 2007-06-25T07:05:39Z | |
dc.date.accessioned | 2011-01-05T08:39:22Z | |
dc.date.available | 2007-06-25T07:05:39Z | |
dc.date.available | 2011-01-05T08:39:22Z | |
dc.date.created | 2004 | |
dc.identifier.citation | International Congress Series 1269 (2004) pp. 26–29 | |
dc.identifier.issn | 0531-5131 | |
dc.identifier.uri | http://hdl.handle.net/1885/45288 | |
dc.description.abstract | When 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.language.iso | en | |
dc.publisher | Elsevier | |
dc.source | International Congress Series | |
dc.subject | texture discrimination | |
dc.subject | isotrigon | |
dc.subject | texture recognition | |
dc.subject | isodipole | |
dc.subject | bee | |
dc.subject | human | |
dc.title | Lessons from biological processing of image texture | |
dc.type | Journal article | |
local.description.refereed | yes | |
local.identifier.citationvolume | 1269 | |
local.rights.ispublished | yes | |
local.identifier.absfor | 170112 - Sensory Processes, Perception and Performance | |
local.identifier.ariespublication | MigratedxPub8611 | |
local.type.status | Published Version | |
local.contributor.affiliation | The Australian National University, Centre for Visual Sciences, Research School for Biological Sciences | |
local.bibliographicCitation.startpage | 26 | |
local.bibliographicCitation.lastpage | 29 | |
local.identifier.doi | 10.1016/j.ics.2004.04.100 | |
dc.date.updated | 2015-12-11T10:32:05Z | |
Collections | ANU Research Publications |
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