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Calibration of a wide angle stereoscopic system

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Calibration of a wide angle stereoscopic system

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dc.contributor.author Ricolfe Viala, Carlos es_ES
dc.contributor.author Sánchez Salmerón, Antonio José es_ES
dc.contributor.author Martínez Bertí, Enrique es_ES
dc.date.accessioned 2013-07-09T06:45:20Z
dc.date.available 2013-07-09T06:45:20Z
dc.date.issued 2011
dc.identifier.issn 0146-9592
dc.identifier.uri http://hdl.handle.net/10251/30840
dc.description This paper was published in OPTICS LETTERS and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/OL.36.003064. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. en_EN
dc.description.abstract Inaccuracies in the calibration of a stereoscopic system appear with errors in point correspondences between both images and inexact points localization in each image. Errors increase if the stereoscopic system is composed of wide angle lens cameras. We propose a technique where detected points in both images are corrected before estimating the fundamental matrix and the lens distortion models. Since points are corrected first, errors in point correspondences and point localization are avoided. To correct point location in both images, geometrical and epipolar constraints are imposed in a nonlinear minimization problem. Geometrical constraints define the point localization in relation to its neighbors in the same image, and eipolar constraints represent the location of one point referred to its corresponding point in the other image. © 2011 Optical Society of America. es_ES
dc.language Inglés es_ES
dc.publisher Optical Society of America es_ES
dc.relation.ispartof Optics Letters es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Epipolar constraints es_ES
dc.subject Fundamental matrix es_ES
dc.subject Geometrical constraints es_ES
dc.subject Lens distortion es_ES
dc.subject Nonlinear minimization es_ES
dc.subject Point correspondence es_ES
dc.subject Point localization es_ES
dc.subject Point location es_ES
dc.subject Stereoscopic systems es_ES
dc.subject Wide angle es_ES
dc.subject Wide-angle lens es_ES
dc.subject Errors es_ES
dc.subject Calibration es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Calibration of a wide angle stereoscopic system es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1364/OL.36.003064
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Ricolfe Viala, C.; Sánchez Salmerón, AJ.; Martínez Berti, E. (2011). Calibration of a wide angle stereoscopic system. Optics Letters. 36(16):3064-3067. doi:10.1364/OL.36.003064 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1364/OL.36.003064 es_ES
dc.description.upvformatpinicio 3064 es_ES
dc.description.upvformatpfin 3067 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 36 es_ES
dc.description.issue 16 es_ES
dc.relation.senia 208978
dc.description.references Zhang, Z., Ma, H., Guo, T., Zhang, S., & Chen, J. (2011). Simple, flexible calibration of phase calculation-based three-dimensional imaging system. Optics Letters, 36(7), 1257. doi:10.1364/ol.36.001257 es_ES
dc.description.references Longuet-Higgins, H. C. (1981). A computer algorithm for reconstructing a scene from two projections. Nature, 293(5828), 133-135. doi:10.1038/293133a0 es_ES
dc.description.references Ricolfe-Viala, C., & Sanchez-Salmeron, A.-J. (2010). Lens distortion models evaluation. Applied Optics, 49(30), 5914. doi:10.1364/ao.49.005914 es_ES
dc.description.references Armangué, X., & Salvi, J. (2003). Overall view regarding fundamental matrix estimation. Image and Vision Computing, 21(2), 205-220. doi:10.1016/s0262-8856(02)00154-3 es_ES
dc.description.references Devernay, F., & Faugeras, O. (2001). Straight lines have to be straight. Machine Vision and Applications, 13(1), 14-24. doi:10.1007/pl00013269 es_ES


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