DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S | ko |
dc.contributor.author | Kweon, In-So | ko |
dc.date.accessioned | 2010-12-01T04:56:07Z | - |
dc.date.available | 2010-12-01T04:56:07Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2006-05 | - |
dc.identifier.citation | PATTERN RECOGNITION LETTERS, v.27, pp.811 - 821 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://hdl.handle.net/10203/20579 | - |
dc.description.abstract | A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose estimation and shape matching. A cooperative feature map binding under computational Gestalt theory shows robust shape matching properties in noisy conditions. The pose of a 3D target is estimated using a Markov Chain Monte Carlo (MCMC) method, a statistical global optimization tool where noise-robust shape matching is used. In addition, bottom-up information accelerates the recognition of 3D targets by providing initial values to the MCMC scheme. Experimental results show that cooperative feature map binding by analyzing spatial relationships has a crucial role in robust shape matching, which is statistically optimized using the MCMC framework. (c) 2005 Elsevier B.V. All rights reserved. | - |
dc.description.sponsorship | This research was supported by the Korean Ministry of Science and Technology for National Research Laboratory Program (Grant number M1-0302-00-0064), Korea. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | 3-D OBJECTS | - |
dc.subject | REPRESENTATION | - |
dc.title | 3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo | - |
dc.type | Article | - |
dc.identifier.wosid | 000236631000013 | - |
dc.identifier.scopusid | 2-s2.0-33644865441 | - |
dc.type.rims | ART | - |
dc.citation.volume | 27 | - |
dc.citation.beginningpage | 811 | - |
dc.citation.endingpage | 821 | - |
dc.citation.publicationname | PATTERN RECOGNITION LETTERS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kweon, In-So | - |
dc.contributor.nonIdAuthor | Kim, S | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | 3D infrared target recognition | - |
dc.subject.keywordAuthor | robust to noise | - |
dc.subject.keywordAuthor | cooperative feature map binding | - |
dc.subject.keywordAuthor | meaningful shape matching | - |
dc.subject.keywordAuthor | MCMC optimization | - |
dc.subject.keywordPlus | 3-D OBJECTS | - |
dc.subject.keywordPlus | REPRESENTATION | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.