Extracting Surface Curvature from Noisy Scan Data

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dc.contributor.author Rugis, John en
dc.date.accessioned 2008-08-21T01:56:46Z en
dc.date.available 2008-08-21T01:56:46Z en
dc.date.issued 2006 en
dc.identifier.citation Communication and Information Technology Research Technical Report 190, (2006) en
dc.identifier.issn 1178-3555 en
dc.identifier.uri http://hdl.handle.net/2292/2779 en
dc.description You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site; http://citr.auckland.ac.nz/techreports/ under terms that include this permission. All other rights are reserved by the author(s). en
dc.description.abstract In general, the noise that is present in real-world 3D surface scan data prevents accurate curvature calculation. In this paper we show how curvature can be extracted from noisy data by applying filtering after a noisy curvature calculation. To this end, we extend the standard Gaussian filter (as used in 2D image processing) by taking adjacent point distances along the scanned surface into account. A brief comparison is made between this new 2.5D Gaussian filter and a standard 2D Gaussian filter using data from the Digital Michelangelo Project. en
dc.publisher CITR, The University of Auckland, New Zealand en
dc.relation.ispartofseries Communication and Information Technology Research (CITR) Technical Report Series en
dc.rights Copyright CITR, The University of Auckland. You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site under terms that include this permission. All other rights are reserved by the author(s). en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.source.uri http://citr.auckland.ac.nz/techreports/2006/CITR-TR-190.pdf en
dc.title Extracting Surface Curvature from Noisy Scan Data en
dc.type Technical Report en
dc.subject.marsden Fields of Research::280000 Information, Computing and Communication Sciences en


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