Point fingerprint: A new 3-D object representation scheme
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sun, YY | - |
dc.contributor.author | Paik, Joonki | - |
dc.contributor.author | Koschan, A | - |
dc.contributor.author | Page, DL | - |
dc.contributor.author | Abidi, MA | - |
dc.date.available | 2020-06-08T09:20:11Z | - |
dc.date.issued | 2003-08 | - |
dc.identifier.issn | 1083-4419 | - |
dc.identifier.issn | 1941-0492 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40435 | - |
dc.description.abstract | This paper proposes a new, efficient surface representation method for surface matching. A feature carrier for a surface point, which is a set of two-dimensional (2-D) contours that are the projections of geodesic circles on the tangent plane, is generated. The carrier is named point fingerprint because its pattern is similar to,human fingerprints and plays a role in discriminating surface points. Corresponding points on surfaces from different views are found by comparing their fingerprints. The point fingerprint is able to carry curvature, color, and other information which can improve matching accuracy, and the matching process is faster than 2-D image comparison. A novel candidate point selection method based on the fingerprint irregularity is introduced. Point fingerprint is successfully applied to pose estimation of real range data. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Point fingerprint: A new 3-D object representation scheme | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TSMCB.2003.814295 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, v.33, no.4, pp 712 - 717 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000184277100018 | - |
dc.identifier.scopusid | 2-s2.0-0041765086 | - |
dc.citation.endPage | 717 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 712 | - |
dc.citation.title | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | - |
dc.citation.volume | 33 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Exponential map | - |
dc.subject.keywordAuthor | Geodesic distance | - |
dc.subject.keywordAuthor | Pose estimation | - |
dc.subject.keywordAuthor | Surface matching | - |
dc.subject.keywordAuthor | Surface registration | - |
dc.subject.keywordAuthor | Triangle mesh | - |
dc.subject.keywordPlus | FORM | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.