DUGiDocsBias reduction for stereo triangulation
dc.contributor.author
dc.date.accessioned
2015-12-17T07:43:50Z
dc.date.available
2015-12-17T07:43:50Z
dc.date.issued
2010
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0013-5194
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dc.description.abstract
Stereo triangulation lays at the basis of 3D scene recovery and it is used in a wide variety of areas ranging from urban modelling to robot localisation and mapping. However, triangulation produces non-Gaussian 3D estimates from Gaussian image measurements owing to its nonlinear nature. While previous work demonstrates the presence of statistical bias and how to correct the depth estimate, in this presented report, proposed and proven in a Monte Carlo test, is an enhancement for correcting the full 3D position given the image projection noise variance
dc.description.sponsorship
This work has been partially funded by the MICINN under grants CTM2010-15216 and PI08/9087. J. Ferrer has been funded by MICINN under FPI grant BES-2006-12733
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application/pdf
dc.language.iso
eng
dc.publisher
Institution of Engineering and Technology (IET)
dc.relation
info:eu-repo/grantAgreement/MICINN//CTM2010-15216/ES/SISTEMA DE CONSTRUCCION DE MAPAS MULTIMODALES PARA LA CARACTERIZACION DEL FONDO MARINO MEDIANTE LA UTILIZACION DE UN ROBOT AUTONOMO/
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Reproducció digital del document publicat a: http://dx.doi.org/10.1049/el.2010.2455
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© Electronics Letters, 2010, vol. 46, núm. 25, p. 1665-1666
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Bias reduction for stereo triangulation
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
012988
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dc.relation.ProjectAcronym
dc.identifier.eissn
1350-911X