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dc.contributor.authorDorrington, Adrian A.
dc.contributor.authorKelly, Cameron B.D.
dc.contributor.authorMcClure, Shane H.
dc.contributor.authorPayne, Andrew D.
dc.contributor.authorCree, Michael J.
dc.coverage.spatialConference held at Dunedin, New Zealanden_NZ
dc.date.accessioned2010-06-23T00:05:43Z
dc.date.available2010-06-23T00:05:43Z
dc.date.issued2009
dc.identifier.citationDorrington, A.A., Kelly, C.D.B., McClure, S.H., Payne, A.D. & Cree, M.J. (2009). Advantages of 3D time-of-flight range imaging cameras in machine vision applications. In Proceeding of the 16th Electronics New Zealand Conference (ENZCon), Dunedin, New Zealand, 18-20 November, 2009. (pp. 95-99). Dunedin, New Zealand: University of Otago.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/4033
dc.description.abstractMachine vision using image processing of traditional intensity images is in wide spread use. In many situations environmental conditions or object colours or shades cannot be controlled, leading to difficulties in correctly processing the images and requiring complicated processing algorithms. Many of these complications can be avoided by using range image data, instead of intensity data. This is because range image data represents the physical properties of object location and shape, practically independently of object colour or shading. The advantages of range image processing are presented, along with three example applications that show how robust machine vision results can be obtained with relatively simple range image processing in real-time applications.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElectronics Researchen_NZ
dc.relation.urihttp://enzcon.org.nz/en_NZ
dc.rightsThis article has been published in Proceeding of the 16th Electronics New Zealand Conference (ENZCon), Dunedin, New Zealand, 18-20 November, 2009. ©2009 the authors.en_NZ
dc.subjectrange imagingen_NZ
dc.subjectthree-dimensionalen_NZ
dc.subject3Den_NZ
dc.subjectmachine visionen_NZ
dc.titleAdvantages of 3D time-of-flight range imaging cameras in machine vision applicationsen_NZ
dc.typeConference Contributionen_NZ
dc.relation.isPartOfProceedings of ENZConen_NZ
pubs.begin-page95en_NZ
pubs.elements-id19183
pubs.end-page99en_NZ
pubs.finish-date2009-11-20en_NZ
pubs.start-date2009-11-18en_NZ


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