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dc.contributor.author Li, Longzhuang
dc.contributor.author Liu, Honghai
dc.contributor.author Wei, Baogang
dc.contributor.author Liu, Yonghuai
dc.date.accessioned 2007-12-05T12:31:05Z
dc.date.available 2007-12-05T12:31:05Z
dc.date.issued 2007-09
dc.identifier.citation Li , L , Liu , H , Wei , B & Liu , Y 2007 , ' Accurate Range Image Registration: Eliminating or Modelling Outliers ' . in IEEE Conference on Emerging Technologies and Factory Automation . pp. 1316-1323 , 12th IEEE Conference on Emerging Technologies and Factory Automation , Patras , Greece , 25-28 September . , 10.1109/EFTA.2007.4416933 en
dc.identifier.citation conference en
dc.identifier.isbn 978-1-4244-0825-2
dc.identifier.isbn 978-1-4244-0826-9
dc.identifier.other PURE: 575575
dc.identifier.other dspace: 2160/385
dc.identifier.uri http://hdl.handle.net/2160/385
dc.identifier.uri http://ieeexplore.ieee.org/iel5/4296570/4296571/04296670.pdf en
dc.description Liu, Yonghuai, Liu, Honghai, Li, Longzhuang, Wei, Baogang. Accurate Range Image Registration: Eliminating or Modelling Outliers. Proceedings of 12th IEEE Conference on Emerging Technologies and Factory Automation, 2007, pp. 1316-1323. Sponsorship: IEEE en
dc.description.abstract Automatic and accurate range image registration is often a prerequisite step for range image analysis and interpretation. Due to occlusion, appearance and disappearance of points in different images, outliers inevitably occur. In this case, various techniques to eliminate and model outliers have been proposed for accurate range image registration. The objective of this paper is to experimentally investigate which of the outlier elimination and modelling is more effective for the evaluation of possible correspondences established, so that a deep insight into how advanced range image registration algorithms will be developed can be obtained. The experimental results based on both synthetic data and real images show that the outlier modelling often outperforms the outlier elimination in the sense of producing more accurate and robust range image registration results. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof IEEE Conference on Emerging Technologies and Factory Automation en
dc.title Accurate Range Image Registration: Eliminating or Modelling Outliers en
dc.type Text en
dc.type.publicationtype Conference proceeding en
dc.description.version preprint en
dc.description.version preprint en
dc.identifier.doi http://dx.doi.org/10.1109/EFTA.2007.4416933
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en


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