Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/70197
DC FieldValue
dc.titleError analysis of 3-D motion estimation algorithms in the differential case
dc.contributor.authorXiang, T.
dc.contributor.authorCheong, L.-F.
dc.date.accessioned2014-06-19T03:09:21Z
dc.date.available2014-06-19T03:09:21Z
dc.date.issued2003
dc.identifier.citationXiang, T., Cheong, L.-F. (2003). Error analysis of 3-D motion estimation algorithms in the differential case. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1 : I/369-I/374. ScholarBank@NUS Repository.
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70197
dc.description.abstractWe put forth in this paper a geometrically motivated 3-D motion error analysis which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.volume1
dc.description.pageI/369-I/374
dc.description.codenPIVRE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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