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Registration of Structures in Arbitrary Dimensions: Implicit Representations, Mutual Information & Free form Deformations

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Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Genre (authority = RULIB-FS)
Other
Genre (authority = marcgt)
technical report
PhysicalDescription
InternetMediaType
application/pdf
Extent
8 pages
Note (type = special display note)
Technical report DCS-TR-520
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Computer Science (New Brunswick)
TypeOfResource
Text
Name (type = personal)
NamePart (type = family)
Huang
NamePart (type = given)
Xiaolei
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Paragios
NamePart (type = given)
Nikos
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Metaxas
NamePart (type = given)
Dimitris
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
TitleInfo
Title
Registration of Structures in Arbitrary Dimensions: Implicit Representations, Mutual Information & Free form Deformations
Abstract (type = abstract)
Registration is a core component in various applications of imaging and vision. While simple cases refer to the registration of clouds of points, a strong need exists for shape, image and volume alignment. In this paper, we propose a novel global-to-local registration method that integrates statistical and variational techniques. Registration is considered in an implicit higher dimensional space. The powerful space of distance transforms of arbitrary metric is used as an embedding function. Mutual information can support various motion models and is considered to perform global registration. A B-Spline approximation of grid is used within a free-from deformation criterion to recover a (complementary to the global) dense registration field that is continuous and guarantees one-to-one mapping. Such framework exhibits robustness and can cope in an efficient manner with important local deformations. 2D/3D shapes are used to demonstrate the potentials of the proposed technique.
OriginInfo
DateIssued (encoding = w3cdtf); (keyDate = yes)
2004-05
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3DB85GN
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Copyright protected
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Open
Reason
Permission or license
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Technical

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Document
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