Structure from Motion in the Presence of Noise

Liu, Gang; Klette, Reinhard

dc.contributor.author	Liu, Gang	en
dc.contributor.author	Klette, Reinhard	en
dc.date.accessioned	2008-08-21T01:57:05Z	en
dc.date.available	2008-08-21T01:57:05Z	en
dc.date.issued	2005	en
dc.identifier.citation	Communication and Information Technology Research Technical Report 169, (2005)	en
dc.identifier.issn	1178-3576	en
dc.identifier.uri	http://hdl.handle.net/2292/2801	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	Structure from Motion (SfM) is one of the most attractive approaches within computer vision which aims on estimating 3D structure from 2D image sequences. This paper focuses on a stability analysis and studies the error propagation of image noise. To stabilize SfM, we further present two optimization schemes by using a priori knowledge of the scene.	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/2005/CITR-TR-169.pdf	en
dc.title	Structure from Motion in the Presence of Noise	en
dc.type	Technical Report	en
dc.subject.marsden	Fields of Research::280000 Information, Computing and Communication Sciences	en