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A new theoretical approach to improving face recognition in disorders of central vision: Face caricaturing

Irons, Jessica; McKone, Elinor; Dumbleton, Rachael; Barnes, Nick; He, Xuming; Provis, Jan; Ivanovici, Callin; Kwa, Ningsi

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Damage to central vision, of which age-related macular degeneration (AMD) is the most common cause, leaves patients with only blurred peripheral vision. Previous approaches to improving face recognition in AMD have employed image manipulations designed to enhance early-stage visual processing (e.g., magnification, increased HSF contrast). Here, we argue that further improvement may be possible by targeting known properties of mid- and/or high-level face processing. We enhance identity-related...[Show more]

dc.contributor.authorIrons, Jessica
dc.contributor.authorMcKone, Elinor
dc.contributor.authorDumbleton, Rachael
dc.contributor.authorBarnes, Nick
dc.contributor.authorHe, Xuming
dc.contributor.authorProvis, Jan
dc.contributor.authorIvanovici, Callin
dc.contributor.authorKwa, Ningsi
dc.date.accessioned2015-12-10T23:35:21Z
dc.identifier.issn1534-7362
dc.identifier.urihttp://hdl.handle.net/1885/69825
dc.description.abstractDamage to central vision, of which age-related macular degeneration (AMD) is the most common cause, leaves patients with only blurred peripheral vision. Previous approaches to improving face recognition in AMD have employed image manipulations designed to enhance early-stage visual processing (e.g., magnification, increased HSF contrast). Here, we argue that further improvement may be possible by targeting known properties of mid- and/or high-level face processing. We enhance identity-related shape information in the face by caricaturing each individual away from an average face. We simulate early- through late-stage AMD-blur by filtering spatial frequencies to mimic the amount of blurring perceived at approximately 10° through 30° into the periphery (assuming a face seen premagnified on a tablet computer).We report caricature advantages for all blur levels, for face viewpoints from front view to semiprofile, and in tasks involving perceiving differences in facial identity between pairs of people, remembering previously learned faces, and rejecting new faces as unknown. Results provide a proof of concept that caricaturing may assist in improving face recognition in AMD and other disorders of central vision.
dc.publisherAssociation for Research in Vision and Opthalmology
dc.rightsAuthor/s retain copyright
dc.sourceJournal of Vision
dc.titleA new theoretical approach to improving face recognition in disorders of central vision: Face caricaturing
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume14
dc.date.issued2014
local.identifier.absfor170299 - Cognitive Science not elsewhere classified
local.identifier.absfor111301 - Ophthalmology
local.identifier.ariespublicationU3488905xPUB2132
local.type.statusPublished Version
local.contributor.affiliationIrons, Jessica, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMcKone, Elinor, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationDumbleton, Rachael, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.contributor.affiliationHe, Xuming, College of Engineering and Computer Science, ANU
local.contributor.affiliationProvis, Jan, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationIvanovici, Callin, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationKwa, Ningsi , College of Medicine, Biology and Environment, ANU
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage29
local.identifier.doi10.1167/14.2.12
dc.date.updated2015-12-10T11:40:55Z
local.identifier.scopusID2-s2.0-84897708642
local.identifier.thomsonID000334064400012
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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