Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | You, BJ | - |
dc.contributor.author | Bien, ZN | - |
dc.contributor.author | Lee, HY | - |
dc.date.accessioned | 2024-01-21T14:44:03Z | - |
dc.date.available | 2024-01-21T14:44:03Z | - |
dc.date.created | 2021-09-04 | - |
dc.date.issued | 1999-12 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/141819 | - |
dc.description.abstract | This paper describes a new pattern recognition method for locating objects based on a novel concept called incremental circle transform that effectively represents the shape of a boundary contour of an object as a vector function of incremental elements. The pose of an object is determined in a very fast manner independently of the position of an object and the starting point for boundary coding. (C) 1999 Elsevier Science B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | A theory of incremental circle transform and its application for pose determination of two-dimensional objects | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/S0167-8655(99)00070-7 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION LETTERS, v.20, no.14, pp.1477 - 1488 | - |
dc.citation.title | PATTERN RECOGNITION LETTERS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 14 | - |
dc.citation.startPage | 1477 | - |
dc.citation.endPage | 1488 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000084489700002 | - |
dc.identifier.scopusid | 2-s2.0-0033331816 | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | 2-D pose determination | - |
dc.subject.keywordAuthor | incremental circle transform | - |
dc.subject.keywordAuthor | similarity transform | - |
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