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Depth-Dependent High Distortion Lens Calibration

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Depth-Dependent High Distortion Lens Calibration

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dc.contributor.author Ricolfe Viala, Carlos es_ES
dc.contributor.author Esparza Peidro, Alicia es_ES
dc.date.accessioned 2021-05-27T03:33:59Z
dc.date.available 2021-05-27T03:33:59Z
dc.date.issued 2020-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166826
dc.description.abstract [EN] Accurate correction of high distorted images is a very complex problem. Several lens distortion models exist that are adjusted using different techniques. Usually, regardless of the chosen model, a unique distortion model is adjusted to undistort images and the camera-calibration template distance is not considered. Several authors have presented the depth dependency of lens distortion but none of them have treated it with highly distorted images. This paper presents an analysis of the distortion depth dependency in strongly distorted images. The division model that is able to represent high distortion with only one parameter is modified to represent a depth-dependent high distortion lens model. The proposed calibration method obtains more accurate results when compared to existing calibration methods. es_ES
dc.description.sponsorship The Instituto de Automatica e Informatica Industrial (ai2) of the Universitat Politecnica de Valencia has financed the open access fees of this paper. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Camera calibration es_ES
dc.subject High distortion es_ES
dc.subject Depth dependence es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Depth-Dependent High Distortion Lens Calibration es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20133695 es_ES
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.; Esparza Peidro, A. (2020). Depth-Dependent High Distortion Lens Calibration. Sensors. 20(13):1-12. https://doi.org/10.3390/s20133695 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20133695 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 13 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 32630342 es_ES
dc.identifier.pmcid PMC7374366 es_ES
dc.relation.pasarela S\423523 es_ES
dc.contributor.funder Universitat Politècnica de València 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 Wieneke, B. (2008). Volume self-calibration for 3D particle image velocimetry. Experiments in Fluids, 45(4), 549-556. doi:10.1007/s00348-008-0521-5 es_ES
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dc.description.references Fryer, J. G., & Fraser, C. S. (2006). ON THE CALIBRATION OF UNDERWATER CAMERAS. The Photogrammetric Record, 12(67), 73-85. doi:10.1111/j.1477-9730.1986.tb00539.x es_ES
dc.description.references Alvarez, L., Gómez, L., & Sendra, J. R. (2010). Accurate Depth Dependent Lens Distortion Models: An Application to Planar View Scenarios. Journal of Mathematical Imaging and Vision, 39(1), 75-85. doi:10.1007/s10851-010-0226-2 es_ES
dc.description.references Ricolfe-Viala, C., Sanchez-Salmeron, A.-J., & Martinez-Berti, E. (2011). Accurate calibration with highly distorted images. Applied Optics, 51(1), 89. doi:10.1364/ao.51.000089 es_ES
dc.description.references Ricolfe-Viala, C., & Sánchez-Salmerón, A.-J. (2010). Robust metric calibration of non-linear camera lens distortion. Pattern Recognition, 43(4), 1688-1699. doi:10.1016/j.patcog.2009.10.003 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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