Eigendecomposition of correlated images characterized by three parameters
dc.contributor.author | Saitwal, Kishor, author | |
dc.contributor.author | Maciejewski, Anthony A., author | |
dc.contributor.author | Roberts, Rodney G., author | |
dc.contributor.author | IEEE, publisher | |
dc.date.accessioned | 2015-07-28T20:36:11Z | |
dc.date.available | 2015-07-28T20:36:11Z | |
dc.date.issued | 2006 | |
dc.description.abstract | Most 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.sponsorship | This 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.medium | born digital | |
dc.format.medium | proceedings (reports) | |
dc.identifier.bibliographicCitation | Saitwal, 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.uri | http://hdl.handle.net/10217/1293 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | Faculty Publications | |
dc.rights | ©2006 IEEE. | |
dc.rights | Copyright 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.subject | correlation methods | |
dc.subject | decomposition | |
dc.subject | eigenvalues and eigenfunctions | |
dc.subject | image resolution | |
dc.title | Eigendecomposition of correlated images characterized by three parameters | |
dc.type | Text |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ECEaam00117.pdf
- Size:
- 253.75 KB
- Format:
- Adobe Portable Document Format
- Description: