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Eigendecomposition of correlated images characterized by three parameters

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dc.contributor.authorSaitwal, Kishor, author
dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorRoberts, Rodney G., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2015-07-28T20:36:11Z
dc.date.available2015-07-28T20:36:11Z
dc.date.issued2006
dc.description.abstractMost eigendecomposition algorithms operate on correlated images that are characterized by only one parameter. Hence they lack the required specifications of fully general 3D image data sets, in which the images need to be characterized by three parameters. In this paper, an extension of one of the fastest known eigendecomposition algorithms is successfully implemented to improve the computational efficiency of computing the eigendecomposition of such 3D image sets. This algorithm can be used in pattern recognition applications such as fully general 3D pose estimation of objects.
dc.description.sponsorshipThis work was supported by the National Imagery and Mapping Agency under contract no. NMA201-00-1-1003 and through collaborative participation in the Robotics Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0012.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.bibliographicCitationSaitwal, Kishor, Anthony A. Maciejewski, and Rodney G. Roberts, Eigendecomposition of Correlated Images Characterized by Three Parameters, 7th IEEE Southwest Symposium on Image Analysis and Interpretation, March 26-28, 2006, Denver, Colorado: 203-207.
dc.identifier.urihttp://hdl.handle.net/10217/1293
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©2006 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectcorrelation methods
dc.subjectdecomposition
dc.subjecteigenvalues and eigenfunctions
dc.subjectimage resolution
dc.titleEigendecomposition of correlated images characterized by three parameters
dc.typeText

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