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Fast eigenspace decomposition of correlated images using their low-resolution properties

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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.issued2004
dc.description.abstractEigendecomposition is a common technique that is performed on sets of correlated images in a number of computer vision and robotics applications. Unfortunately, the computation of an eigendecomposition can become prohibitively expensive when dealing with very high resolution images. While reducing the resolution of the images will reduce the computational expense, it is not known a priori how this will affect the quality of the resulting eigendecomposition. The work presented here provides an analysis of how different resolution reduction techniques affect the eigendecomposition. A computationally efficient algorithm for calculating the eigendecomposition based on this analysis is proposed. Examples show that this algorithm performs very well on arbitrary video sequences.
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, Fast Eigenspace Decomposition of Correlated Images Using Their Low-Resolution Properties, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 28 September - 2 October, 2004, Sendai, Japan, Proceedings: 2707-2712.
dc.identifier.urihttp://hdl.handle.net/10217/1291
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©2004 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.titleFast eigenspace decomposition of correlated images using their low-resolution properties
dc.typeText

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