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Article: Solid model reconstruction from engineering paper drawings using Genetic Algorithms

TitleSolid model reconstruction from engineering paper drawings using Genetic Algorithms
Authors
KeywordsEngineering drawing
Genetic Algorithms
Networks of single closed regions
Solid model reconstruction
Issue Date2003
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/cad
Citation
Cad Computer Aided Design, 2003, v. 35 n. 13, p. 1235-1248 How to Cite?
AbstractThe wide applications of CAD/CAM technologies have promoted the development and application of many advanced technologies, such as digital manufacturing, rapid prototyping, enterprise resources planning, computer integrated manufacturing, concurrent engineering, virtual reality, and mass customization. These advanced technologies all need to be supported by three-dimensional (3D) solid models of products. Most enterprises, however, still organize their production using 2D paper drawings, which makes difficulties for the application of these advanced technologies. It is needed to convert engineering paper drawings into 3D solid models for applications. Based on holo-extraction of information from paper drawings, this paper develops a systematic 3D reconstruction method, which simulates an experienced human designer's thinking mode in transforming inaccurate outlines with inaccurate projection relationships in 2D drawings into 3D image, with the aid of Genetic Algorithms. © 2003 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75539
ISSN
2021 Impact Factor: 3.652
2020 SCImago Journal Rankings: 0.804
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, KZen_HK
dc.contributor.authorFeng, XAen_HK
dc.date.accessioned2010-09-06T07:12:10Z-
dc.date.available2010-09-06T07:12:10Z-
dc.date.issued2003en_HK
dc.identifier.citationCad Computer Aided Design, 2003, v. 35 n. 13, p. 1235-1248en_HK
dc.identifier.issn0010-4485en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75539-
dc.description.abstractThe wide applications of CAD/CAM technologies have promoted the development and application of many advanced technologies, such as digital manufacturing, rapid prototyping, enterprise resources planning, computer integrated manufacturing, concurrent engineering, virtual reality, and mass customization. These advanced technologies all need to be supported by three-dimensional (3D) solid models of products. Most enterprises, however, still organize their production using 2D paper drawings, which makes difficulties for the application of these advanced technologies. It is needed to convert engineering paper drawings into 3D solid models for applications. Based on holo-extraction of information from paper drawings, this paper develops a systematic 3D reconstruction method, which simulates an experienced human designer's thinking mode in transforming inaccurate outlines with inaccurate projection relationships in 2D drawings into 3D image, with the aid of Genetic Algorithms. © 2003 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/caden_HK
dc.relation.ispartofCAD Computer Aided Designen_HK
dc.subjectEngineering drawingen_HK
dc.subjectGenetic Algorithmsen_HK
dc.subjectNetworks of single closed regionsen_HK
dc.subjectSolid model reconstructionen_HK
dc.titleSolid model reconstruction from engineering paper drawings using Genetic Algorithmsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0010-4485&volume=35&spage=1235&epage=1248&date=2003&atitle=Solid+model+reconstruction+from+engineering+paper+drawings+using+Genetic+Algorithmsen_HK
dc.identifier.emailChen, KZ: kzchen188@gmail.comen_HK
dc.identifier.authorityChen, KZ=rp00097en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0010-4485(03)00039-3en_HK
dc.identifier.scopuseid_2-s2.0-0042331209en_HK
dc.identifier.hkuros88914en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042331209&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue13en_HK
dc.identifier.spage1235en_HK
dc.identifier.epage1248en_HK
dc.identifier.isiWOS:000185699600008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChen, KZ=7410237952en_HK
dc.identifier.scopusauthoridFeng, XA=7403047129en_HK
dc.identifier.issnl0010-4485-

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