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 |
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dc.identifier.citation |
Communication and Information Technology Research Technical Report 190, (2006) |
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dc.identifier.issn |
1178-3555 |
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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). |
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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. |
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dc.publisher |
CITR, The University of Auckland, New Zealand |
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dc.relation.ispartofseries |
Communication and Information Technology Research (CITR) Technical Report Series |
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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 |
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dc.title |
Extracting Surface Curvature from Noisy Scan Data |
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dc.type |
Technical Report |
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dc.subject.marsden |
Fields of Research::280000 Information, Computing and Communication Sciences |
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