Loading…

Contour migration: solving object ambiguity with shape-space visual guidance

A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monoc...

Full description

Saved in:

Bibliographic Details
Main Authors:	Abd-Almageed, W., Smith, C.E.
Format:	Conference Proceeding
Language:	English
Subjects:	Applied sciences Artificial intelligence Cameras Computer science control theory systems Computer vision Control theory. Systems Exact sciences and technology Intelligent robots Laboratories Machine vision Object recognition Pattern recognition. Digital image processing. Computational geometry Robot vision systems Robotics Shape
Online Access:	Request full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by
cites
container_end_page	335 vol.1
container_issue
container_start_page	330
container_title
container_volume	1
creator	Abd-Almageed, W. Smith, C.E.
description	A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monocular vision system. This paper presents a method for disambiguating objects during silhouette matching using a visual servoing system. This method identifies the camera motion(s) that gives disambiguating views of the objects. These motions are identified through a new technique called contour migration. The occluding contour's shape is used to identify objects or object classes that are potential matches for that shape. A contour migration is then determined that disambiguates the possible matches by purposive viewpoint adjustment. The technique is demonstrated using an example set of objects.
doi_str_mv	10.1109/IRDS.2002.1041410
format	conference_proceeding
fullrecord	<record><control><sourceid>pascalfrancis_6IE</sourceid><recordid>TN_cdi_pascalfrancis_primary_15672988</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1041410</ieee_id><sourcerecordid>15672988</sourcerecordid><originalsourceid>FETCH-LOGICAL-i135t-e4f3e8553c216e53f19e5ff1fbfbeaa7bb51650921005345af5482a0b6b050993</originalsourceid><addsrcrecordid>eNpFUE1Lw0AUXBBBrf0B4mUvHlPfy-4mWW9SrRYCgh_n8ja-bbekScimlf57AxWcy8DMMAMjxA3CDBHs_fL96WOWAqQzBI0a4UxcQV6AypUt8gsxjXELI7Q2ytpLUc7bZmj3vdyFdU9DaJsHGdv6EJq1bN2Wq0HSzoX1PgxH-ROGjYwb6jiJHVUsDyHuqZaj-01Nxdfi3FMdefrHE_G1eP6cvybl28ty_lgmAZUZEtZecWGMqlLM2CiPlo336J13TJQ7ZzAzYFMEMEob8kYXKYHLHIyyVRNxd-rtKFZU-34cD3HV9WFH_XGFJstTWxRj7vaUC8z8b5-OUb9-blkY</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Contour migration: solving object ambiguity with shape-space visual guidance</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Abd-Almageed, W. ; Smith, C.E.</creator><creatorcontrib>Abd-Almageed, W. ; Smith, C.E.</creatorcontrib><description>A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monocular vision system. This paper presents a method for disambiguating objects during silhouette matching using a visual servoing system. This method identifies the camera motion(s) that gives disambiguating views of the objects. These motions are identified through a new technique called contour migration. The occluding contour's shape is used to identify objects or object classes that are potential matches for that shape. A contour migration is then determined that disambiguates the possible matches by purposive viewpoint adjustment. The technique is demonstrated using an example set of objects.</description><identifier>ISBN: 0780373987</identifier><identifier>ISBN: 9780780373983</identifier><identifier>DOI: 10.1109/IRDS.2002.1041410</identifier><language>eng</language><publisher>Piscataway NJ: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Cameras ; Computer science; control theory; systems ; Computer vision ; Control theory. Systems ; Exact sciences and technology ; Intelligent robots ; Laboratories ; Machine vision ; Object recognition ; Pattern recognition. Digital image processing. Computational geometry ; Robot vision systems ; Robotics ; Shape</subject><ispartof>IEEE/RSJ International Conference on Intelligent Robots and Systems, 2002, Vol.1, p.330-335 vol.1</ispartof><rights>2004 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1041410$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1041410$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15672988$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Abd-Almageed, W.</creatorcontrib><creatorcontrib>Smith, C.E.</creatorcontrib><title>Contour migration: solving object ambiguity with shape-space visual guidance</title><title>IEEE/RSJ International Conference on Intelligent Robots and Systems</title><addtitle>IRDS</addtitle><description>A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monocular vision system. This paper presents a method for disambiguating objects during silhouette matching using a visual servoing system. This method identifies the camera motion(s) that gives disambiguating views of the objects. These motions are identified through a new technique called contour migration. The occluding contour's shape is used to identify objects or object classes that are potential matches for that shape. A contour migration is then determined that disambiguates the possible matches by purposive viewpoint adjustment. The technique is demonstrated using an example set of objects.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Cameras</subject><subject>Computer science; control theory; systems</subject><subject>Computer vision</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Intelligent robots</subject><subject>Laboratories</subject><subject>Machine vision</subject><subject>Object recognition</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Robot vision systems</subject><subject>Robotics</subject><subject>Shape</subject><isbn>0780373987</isbn><isbn>9780780373983</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFUE1Lw0AUXBBBrf0B4mUvHlPfy-4mWW9SrRYCgh_n8ja-bbekScimlf57AxWcy8DMMAMjxA3CDBHs_fL96WOWAqQzBI0a4UxcQV6AypUt8gsxjXELI7Q2ytpLUc7bZmj3vdyFdU9DaJsHGdv6EJq1bN2Wq0HSzoX1PgxH-ROGjYwb6jiJHVUsDyHuqZaj-01Nxdfi3FMdefrHE_G1eP6cvybl28ty_lgmAZUZEtZecWGMqlLM2CiPlo336J13TJQ7ZzAzYFMEMEob8kYXKYHLHIyyVRNxd-rtKFZU-34cD3HV9WFH_XGFJstTWxRj7vaUC8z8b5-OUb9-blkY</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Abd-Almageed, W.</creator><creator>Smith, C.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2002</creationdate><title>Contour migration: solving object ambiguity with shape-space visual guidance</title><author>Abd-Almageed, W. ; Smith, C.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i135t-e4f3e8553c216e53f19e5ff1fbfbeaa7bb51650921005345af5482a0b6b050993</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Cameras</topic><topic>Computer science; control theory; systems</topic><topic>Computer vision</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Intelligent robots</topic><topic>Laboratories</topic><topic>Machine vision</topic><topic>Object recognition</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Robot vision systems</topic><topic>Robotics</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Abd-Almageed, W.</creatorcontrib><creatorcontrib>Smith, C.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Abd-Almageed, W.</au><au>Smith, C.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Contour migration: solving object ambiguity with shape-space visual guidance</atitle><btitle>IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IRDS</stitle><date>2002</date><risdate>2002</risdate><volume>1</volume><spage>330</spage><epage>335 vol.1</epage><pages>330-335 vol.1</pages><isbn>0780373987</isbn><isbn>9780780373983</isbn><abstract>A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monocular vision system. This paper presents a method for disambiguating objects during silhouette matching using a visual servoing system. This method identifies the camera motion(s) that gives disambiguating views of the objects. These motions are identified through a new technique called contour migration. The occluding contour's shape is used to identify objects or object classes that are potential matches for that shape. A contour migration is then determined that disambiguates the possible matches by purposive viewpoint adjustment. The technique is demonstrated using an example set of objects.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/IRDS.2002.1041410</doi><tpages>6</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISBN: 0780373987
ispartof	IEEE/RSJ International Conference on Intelligent Robots and Systems, 2002, Vol.1, p.330-335 vol.1
issn
language	eng
recordid	cdi_pascalfrancis_primary_15672988
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Applied sciences Artificial intelligence Cameras Computer science control theory systems Computer vision Control theory. Systems Exact sciences and technology Intelligent robots Laboratories Machine vision Object recognition Pattern recognition. Digital image processing. Computational geometry Robot vision systems Robotics Shape
title	Contour migration: solving object ambiguity with shape-space visual guidance
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T14%3A17%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Contour%20migration:%20solving%20object%20ambiguity%20with%20shape-space%20visual%20guidance&rft.btitle=IEEE/RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems&rft.au=Abd-Almageed,%20W.&rft.date=2002&rft.volume=1&rft.spage=330&rft.epage=335%20vol.1&rft.pages=330-335%20vol.1&rft.isbn=0780373987&rft.isbn_list=9780780373983&rft_id=info:doi/10.1109/IRDS.2002.1041410&rft_dat=%3Cpascalfrancis_6IE%3E15672988%3C/pascalfrancis_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i135t-e4f3e8553c216e53f19e5ff1fbfbeaa7bb51650921005345af5482a0b6b050993%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1041410&rfr_iscdi=true