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Handling Significant Scale Difference for Object Retrieval in a Supermarket

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dc.contributor.authorZhang, Yuhang
dc.contributor.authorWang, Lei
dc.contributor.authorHartley, Richard
dc.contributor.authorLi, Hongdong
dc.coverage.spatialMelbourne Australia
dc.date.accessioned2015-12-07T22:31:27Z
dc.date.createdDecember 1-3 2009
dc.date.issued2009
dc.date.updated2016-02-24T11:20:35Z
dc.description.abstractWe propose an object retrieval application which can retrieve user specified objects from a big supermarket. Significant and unpredictable scale difference between the query and the database image is the major obstacle encountered. The widely used local invariant features show their deficiency in such an occasion. To improve the situation, we first design a new weighting scheme which can assess the repeatability of local features against scale variance. Also, another method which deals with scale difference through retrieving a query under multiple scales is also developed. Our methods have been tested on a real image database collected from a local supermarket and outperform the existing local invariant feature based image retrieval approaches. A new spatial check method is also briefly discussed.
dc.identifier.isbn9780769538662
dc.identifier.urihttp://hdl.handle.net/1885/22786
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2009)
dc.sourceProceedings of the Digital Image Computing: Techniques and Applications (DICTA 2009)
dc.source.urihttp://www.informatik.uni-trier.de/~ley/db/conf/dicta/dicta2009.html
dc.subjectKeywords: Check method; Database images; Local feature; Local invariant features; Multiple scale; Object retrieval; Real images; Scale invariance; Weighting scheme; Image processing; Image retrieval; Retail stores; Scales (weighing instruments) Image retrieval; Local feature; Scale invariance
dc.titleHandling Significant Scale Difference for Object Retrieval in a Supermarket
dc.typeConference paper
local.bibliographicCitation.lastpage475
local.bibliographicCitation.startpage468
local.contributor.affiliationZhang, Yuhang, College of Engineering and Computer Science, ANU
local.contributor.affiliationWang, Lei, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.authoruidZhang, Yuhang, u4286098
local.contributor.authoruidWang, Lei, u4259382
local.contributor.authoruidHartley, Richard, u4022238
local.contributor.authoruidLi, Hongdong, u4056952
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080602 - Computer-Human Interaction
local.identifier.ariespublicationu4708487xPUB23
local.identifier.doi10.1109/DICTA.2009.79
local.identifier.scopusID2-s2.0-77950312672
local.identifier.thomsonID000290469200068
local.type.statusPublished Version

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