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View-Based Object Recognition Using Saliency Maps

Descriptive

Language
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English
Genre (authority = RULIB-FS)
Other
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technical report
PhysicalDescription
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application/pdf
Extent
34 p.
Note (type = special display note)
Technical report DCS-TR-339
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Computer Science (New Brunswick)
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Text
Name (type = personal)
NamePart (type = family)
Shokoufandeh
NamePart (type = given)
Ali
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Marsic
NamePart (type = given)
Ivan
Affiliation
Electrical and Computer Engineering
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Dickinson
NamePart (type = given)
Sven J.
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (type = text); (authority = marcrt)
author
TitleInfo
Title
View-Based Object Recognition Using Saliency Maps
Abstract (type = abstract)
We introduce a novel view-based object representation, called the saliency map graph (SMG), which captures the salient regions of an object view at multiple scales using a wavelet transform. This compact representation is highly invariant to translation, rotation (image and depth), and scaling, and offers the locality of representation required for occluded object recognition. To compare two saliency map graphs, we introduce two graph similarity algorithms. The first computes the topological similarity between two SMG's, providing a coarse-level matching of two graphs. The second computes the geometrical similarity between two SMG's, providing a fine-level matching of two graphs. We test and compare these two algorithms on a large database of model object views
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact); (keyDate = yes)
1998-07
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3DF6VTP
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This Item is protected by copyright and/or related rights.You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.For other uses you need to obtain permission from the rights-holder(s).
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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Document
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1.4
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GPL Ghostscript 9.07
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2018-06-06T12:27:45
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-06T12:27:45
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