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Article: MODEL-BASED RECOGNITION IN ROBOT VISION.

TitleMODEL-BASED RECOGNITION IN ROBOT VISION.
Authors
KeywordsCOMPUTER PROGRAMMING - Algorithms
ROBOTICS - Vision Systems
ROBOTS, INDUSTRIAL - Vision Systems
Issue Date1986
Citation
Computing Surveys, 1986, v. 18 n. 1, p. 67-108 How to Cite?
AbstractThis paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision. The goal of these algorithms is to recognize the identity, position, and orientation of randomly oriented industrial parts. In one form this is commonly referred to as the 'bin-picking' problem, in which the parts to be recognized are presented in a jumbled bin. The paper is organized according to 2-D, 2 one-half -D, and 3-D object representations, which are used as the basis for the recognition algorithms. Three central issues common to each category, namely, feature extraction, modeling, and matching, are examined in detail. An evaluation and comparison of existing industrial part-recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.
Persistent Identifierhttp://hdl.handle.net/10722/65521
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChin, Roland Ten_HK
dc.contributor.authorDyer, Charles Ren_HK
dc.date.accessioned2010-08-31T07:15:03Z-
dc.date.available2010-08-31T07:15:03Z-
dc.date.issued1986en_HK
dc.identifier.citationComputing Surveys, 1986, v. 18 n. 1, p. 67-108en_HK
dc.identifier.issn0010-4892en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65521-
dc.description.abstractThis paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision. The goal of these algorithms is to recognize the identity, position, and orientation of randomly oriented industrial parts. In one form this is commonly referred to as the 'bin-picking' problem, in which the parts to be recognized are presented in a jumbled bin. The paper is organized according to 2-D, 2 one-half -D, and 3-D object representations, which are used as the basis for the recognition algorithms. Three central issues common to each category, namely, feature extraction, modeling, and matching, are examined in detail. An evaluation and comparison of existing industrial part-recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.en_HK
dc.languageengen_HK
dc.relation.ispartofComputing surveysen_HK
dc.subjectCOMPUTER PROGRAMMING - Algorithmsen_HK
dc.subjectROBOTICS - Vision Systemsen_HK
dc.subjectROBOTS, INDUSTRIAL - Vision Systemsen_HK
dc.titleMODEL-BASED RECOGNITION IN ROBOT VISION.en_HK
dc.typeArticleen_HK
dc.identifier.emailChin, Roland T: rchin@hku.hken_HK
dc.identifier.authorityChin, Roland T=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0022674591en_HK
dc.identifier.volume18en_HK
dc.identifier.issue1en_HK
dc.identifier.spage67en_HK
dc.identifier.epage108en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK
dc.identifier.scopusauthoridDyer, Charles R=7202510459en_HK

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