Normalization of Relative Position Descriptors

dc.contributor.advisorMatsakis, Pascal
dc.contributor.authorJazouli, Manal
dc.date.accessioned2018-08-29T19:20:09Z
dc.date.available2018-08-29T19:20:09Z
dc.date.copyright2018-08
dc.date.created2018-08-09
dc.date.issued2018-08-29
dc.degree.departmentSchool of Computer Scienceen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.degree.programmeComputer Scienceen_US
dc.description.abstractA relative position descriptor (RPD) is a quantitative representation of the position of a spatial object relative to another. RPDs have been used in applications such as scene matching, human-robot interaction, and geospatial information retrieval. RPDs are usually not invariant under geometric transformations (i.e., the RPD changes when a geometric transformation is applied to the objects). However, some RPDs can be normalized and made invariant under these transformations − and this is a desirable property. Here, we review and introduce new normalization methods for well-known RPDs, namely, the force histogram and the φ−descriptor.en_US
dc.identifier.urihttp://hdl.handle.net/10214/14125
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectRelative Position Descriptoren_US
dc.subjectForce histogramen_US
dc.subjectPhi-descriptoren_US
dc.subjectimage descriptorsen_US
dc.subjectNormalizationen_US
dc.subjectaffine invarianceen_US
dc.titleNormalization of Relative Position Descriptorsen_US
dc.typeThesisen_US

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