383 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author최병욱-
dc.date.accessioned2018-02-27T04:17:11Z-
dc.date.available2018-02-27T04:17:11Z-
dc.date.issued2011-05-
dc.identifier.citation제어로봇시스템학회 국내학술대회 논문집. 2011-05 :525-529en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE02034112-
dc.description.abstractDetecting a planar surface in real world(3D) is important to recognize environment for mobile robot. Especially, planar surface in indoor environment structured plane can be used for information to navigate safely and recognize the plane for task. This paper proposes a method to detect plane regions using the affine homography from image pair. First, using image pair from monocular sequence, corresponding point is obtained by SURF. At least three corresponding points are used to calculate the affine homography that represents a plane in the image. That is used for detecting points belonging to the same plane based on the reprojection error. Using points lying on the same plane first, we find new affine homography to minimize the reprojection error. When the reprojection error can not minimize any longer, the homography will be optimum planar homography. Experiment results are performed in different sequence of indoor image pair from wheeled mobile robot and results are shown in section 4.en_US
dc.language.isoko_KRen_US
dc.publisher제어로봇시스템학회 / Institute of Control, Robotics and Systemsen_US
dc.subjectPlane detectionen_US
dc.subjectRobot visionen_US
dc.subjectRobot visionen_US
dc.title단일 카메마로 획득한 영상 쌍의 평면 호모그래피를 이용한 평면 검출en_US
dc.typeArticleen_US
dc.relation.page525-528-
dc.contributor.googleauthor고동욱-
dc.contributor.googleauthor이주호-
dc.contributor.googleauthor최병욱-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidbuchoi-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE