DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, JH | - |
dc.contributor.author | Han, JH | - |
dc.date.accessioned | 2016-04-01T02:00:46Z | - |
dc.date.available | 2016-04-01T02:00:46Z | - |
dc.date.created | 2009-03-18 | - |
dc.date.issued | 2006-03 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.other | 2006-OAK-0000005660 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/24214 | - |
dc.description.abstract | We propose a robust algorithm for estimating the projective reconstruction from image features using the RANSAC-based Triangulation method. In this method, we select input points randomly, separate the input points into inliers and outliers by computing their reprojection error, and correct the outliers so that they can become inliers. The reprojection error and correcting outliers are computed using the Triangulation method. After correcting the outliers, we can reliably recover projective motion and structure using the projective factorization method. Experimental results showed that errors can be reduced significantly compared to the previous research as a result of robustly estimated projective reconstruction. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | PATTERN RECOGNITION | - |
dc.subject | projective reconstruction | - |
dc.subject | factorization | - |
dc.subject | RANSAC | - |
dc.subject | robust estimation | - |
dc.subject | outlier | - |
dc.title | Outlier correction from uncalibrated image sequence using the Triangulation method | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/j.patcog.2005.07.008 | - |
dc.author.google | Kim, JH | - |
dc.author.google | Han, JH | - |
dc.relation.volume | 39 | - |
dc.relation.issue | 3 | - |
dc.relation.startpage | 394 | - |
dc.relation.lastpage | 404 | - |
dc.contributor.id | 10077431 | - |
dc.relation.journal | PATTERN RECOGNITION | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION, v.39, no.3, pp.394 - 404 | - |
dc.identifier.wosid | 000234981800008 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 404 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 394 | - |
dc.citation.title | PATTERN RECOGNITION | - |
dc.citation.volume | 39 | - |
dc.contributor.affiliatedAuthor | Han, JH | - |
dc.identifier.scopusid | 2-s2.0-29144460052 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 6 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | projective reconstruction | - |
dc.subject.keywordAuthor | factorization | - |
dc.subject.keywordAuthor | RANSAC | - |
dc.subject.keywordAuthor | robust estimation | - |
dc.subject.keywordAuthor | outlier | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
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