Dynamic vergence using disparity flux
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, HJ | - |
dc.contributor.author | Yoo, MH | - |
dc.contributor.author | Lee, SW | - |
dc.date.accessioned | 2021-09-09T12:37:33Z | - |
dc.date.available | 2021-09-09T12:37:33Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2000 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/124416 | - |
dc.description.abstract | Vergence movement enables human and vertebrates, having stereo vision, to perceive the depth of an interesting visual target fixated by both left and right eyes. To simulate this on a binocular robotic camera head, we propose a new control model for vergence movement using disparity flux. Experimental results showed that this model is efficient in controlling vergence movement in various environments. When the perception-action cycle is short enough to approach to the real-time frame rate, the precision of disparity flux increases, and then a more accurate control of vergence movements on the stereo robotic head is possible. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Dynamic vergence using disparity flux | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, SW | - |
dc.identifier.wosid | 000166852800018 | - |
dc.identifier.bibliographicCitation | BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDING, v.1811, pp.179 - 188 | - |
dc.relation.isPartOf | BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDING | - |
dc.citation.title | BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDING | - |
dc.citation.volume | 1811 | - |
dc.citation.startPage | 179 | - |
dc.citation.endPage | 188 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.