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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, JS | - |
| dc.contributor.author | Han, JH | - |
| dc.date.accessioned | 2016-03-31T13:02:42Z | - |
| dc.date.available | 2016-03-31T13:02:42Z | - |
| dc.date.created | 2009-03-18 | - |
| dc.date.issued | 2002-10 | - |
| dc.identifier.issn | 0031-3203 | - |
| dc.identifier.other | 2002-OAK-0000002840 | - |
| dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/18943 | - |
| dc.description.abstract | This paper presents a method that recovers an Euclidean structure from contour matching results. If three or more views are available, structure reconstruction without camera calibration is possible. This is the first attempt at structure reconstruction from contour matches, though there are works on structure reconstruction from point matches. We also propose a new method that integrates more than one reconstructed 3D structure whose coordinates are represented by different camera projection matrices, so that the structures are uniformly represented by the projection matrix of the first camera. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. | - |
| dc.description.statementofresponsibility | X | - |
| dc.language | English | - |
| dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
| dc.relation.isPartOf | PATTERN RECOGNITION | - |
| dc.subject | 3D reconstruction | - |
| dc.subject | uncalibrated reconstruction | - |
| dc.subject | self-calibration | - |
| dc.subject | contour match | - |
| dc.subject | SELF-CALIBRATION | - |
| dc.subject | MOVING CAMERA | - |
| dc.subject | MOTION | - |
| dc.subject | POINT | - |
| dc.title | Euclidean reconstruction from contour matches | - |
| dc.type | Article | - |
| dc.contributor.college | 컴퓨터공학과 | - |
| dc.identifier.doi | 10.1016/S0031-3203(01)00176-5 | - |
| dc.author.google | Park, JS | - |
| dc.author.google | Han, JH | - |
| dc.relation.volume | 35 | - |
| dc.relation.issue | 10 | - |
| dc.relation.startpage | 2109 | - |
| dc.relation.lastpage | 2124 | - |
| 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.35, no.10, pp.2109 - 2124 | - |
| dc.identifier.wosid | 000177396500009 | - |
| dc.date.tcdate | 2019-01-01 | - |
| dc.citation.endPage | 2124 | - |
| dc.citation.number | 10 | - |
| dc.citation.startPage | 2109 | - |
| dc.citation.title | PATTERN RECOGNITION | - |
| dc.citation.volume | 35 | - |
| dc.contributor.affiliatedAuthor | Han, JH | - |
| dc.identifier.scopusid | 2-s2.0-0036779088 | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.description.wostc | 2 | - |
| dc.type.docType | Article | - |
| dc.subject.keywordAuthor | 3D reconstruction | - |
| dc.subject.keywordAuthor | uncalibrated reconstruction | - |
| dc.subject.keywordAuthor | self-calibration | - |
| dc.subject.keywordAuthor | contour match | - |
| 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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Related Researcher
- 한준희HAN, JOON HEE
- Dept of Computer Science & Enginrg