Recognizing and locating polyhedral objects from sparse range data
A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretat...
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creator | Qiang, S. Mohr, R. Tombre, K. |
description | A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Once all the feasible models are transformed to the scene space, a strategy for additional scanning positions is developed to distinguish the object uniquely.< > |
doi_str_mv | 10.1109/ICPR.1988.28182 |
format | Conference Proceeding |
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Press</publisher><subject>Charge coupled devices ; Charge-coupled image sensors ; Computer Science ; Computer Vision and Pattern Recognition ; Face recognition ; Geometry ; Image recognition ; Image segmentation ; Layout ; Lenses ; Sampling methods ; Solid modeling</subject><ispartof>[1988 Proceedings] 9th International Conference on Pattern Recognition, 1988, Vol.1, p.104-106 vol.1</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0009-0009-4479-5371</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/28182$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,885,2057,4049,4050,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/28182$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://inria.hal.science/inria-00548477$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Qiang, S.</creatorcontrib><creatorcontrib>Mohr, R.</creatorcontrib><creatorcontrib>Tombre, K.</creatorcontrib><title>Recognizing and locating polyhedral objects from sparse range data</title><title>[1988 Proceedings] 9th International Conference on Pattern Recognition</title><addtitle>ICPR</addtitle><description>A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Once all the feasible models are transformed to the scene space, a strategy for additional scanning positions is developed to distinguish the object uniquely.< ></description><subject>Charge coupled devices</subject><subject>Charge-coupled image sensors</subject><subject>Computer Science</subject><subject>Computer Vision and Pattern Recognition</subject><subject>Face recognition</subject><subject>Geometry</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>Layout</subject><subject>Lenses</subject><subject>Sampling methods</subject><subject>Solid modeling</subject><isbn>9780818608780</isbn><isbn>0818608781</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1988</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kEFLxDAQhQMiKGvP4i13aW2SJpkc10XdhYKy7L1M26TN0m1LWoT111tdcS7zHnwM7w0h9yxNGEvN027zsU-YAUg4MOBXJDIa0kWqFBZxQ6JpOqbLSAlK8VvyvLfV0PT-y_cNxb6m3VDh_GPGoTu3tg7Y0aE82mqeqAvDiU4jhsnSgH1jaY0z3pFrh91ko7-9IofXl8NmG-fvb7vNOo9bxvkcKweaOyUlKpQKQUJdaoZa12UJQpaZ4MIZ5jLlbCaNUJjBEhSENUYKKVbk8XK2xa4Ygz9hOBcD-mK7zgvfB4_FUiuDTOtPttAPF9pba__x36eIb1J6Vc8</recordid><startdate>1988</startdate><enddate>1988</enddate><creator>Qiang, S.</creator><creator>Mohr, R.</creator><creator>Tombre, K.</creator><general>IEEE Comput. Soc. Press</general><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>1XC</scope><orcidid>https://orcid.org/0009-0009-4479-5371</orcidid></search><sort><creationdate>1988</creationdate><title>Recognizing and locating polyhedral objects from sparse range data</title><author>Qiang, S. ; Mohr, R. ; Tombre, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h122t-6f872f655a6a56a858db71a77dbb835b4323f91f46fe45936a4800083e995353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Charge coupled devices</topic><topic>Charge-coupled image sensors</topic><topic>Computer Science</topic><topic>Computer Vision and Pattern Recognition</topic><topic>Face recognition</topic><topic>Geometry</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>Layout</topic><topic>Lenses</topic><topic>Sampling methods</topic><topic>Solid modeling</topic><toplevel>online_resources</toplevel><creatorcontrib>Qiang, S.</creatorcontrib><creatorcontrib>Mohr, R.</creatorcontrib><creatorcontrib>Tombre, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Qiang, S.</au><au>Mohr, R.</au><au>Tombre, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Recognizing and locating polyhedral objects from sparse range data</atitle><btitle>[1988 Proceedings] 9th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>1988</date><risdate>1988</risdate><volume>1</volume><spage>104</spage><epage>106 vol.1</epage><pages>104-106 vol.1</pages><isbn>9780818608780</isbn><isbn>0818608781</isbn><abstract>A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Once all the feasible models are transformed to the scene space, a strategy for additional scanning positions is developed to distinguish the object uniquely.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICPR.1988.28182</doi><tpages>3</tpages><orcidid>https://orcid.org/0009-0009-4479-5371</orcidid></addata></record> |
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subjects | Charge coupled devices Charge-coupled image sensors Computer Science Computer Vision and Pattern Recognition Face recognition Geometry Image recognition Image segmentation Layout Lenses Sampling methods Solid modeling |
title | Recognizing and locating polyhedral objects from sparse range data |
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