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dc.contributor.authorBrito, Darlan Nunes de-
dc.contributor.authorPádua, Flávio Luis Cardeal-
dc.contributor.authorLopes, Aldo Peres Campos e-
dc.identifier.citationBRITO, D. N. de; PÁDUA, F. L. C.; LOPES, A. P. C. e. Using geometric interval algebra modeling for improved three-dimensional camera calibration. Journal of Mathematical Imaging and Vision, v. 61, p. 1342–1369, 2019. Disponível em: <>. Acesso em: 10 mar. 2020.pt_BR
dc.description.abstractThis paper addresses the problem of estimating camera calibration parameters by using a novel method based on interval algebra. Unlike existing solutions, which usually apply real algebra, our method is capable of obtaining highly accurate parameters even in scenarios where the input data for camera calibration are severely corrupted by noise or no artificial calibration target can be introduced on the scene. We introduce some key concepts regarding the usage of interval algebra on projective space, which might be used by other computer vision methods. To demonstrate the robustness and effectiveness of our method, we present results for camera calibration with varying levels of noise on the input data of a world coordinate frame (standard deviation of up to 0.5 m) and their corresponding projections onto an image plane (standard deviation of up to 10 pixels), which are significantly larger than noise levels considered by state-of-the-art methods.pt_BR
dc.subjectImage geometrypt_BR
dc.subjectProjective geometrypt_BR
dc.titleUsing geometric interval algebra modeling for improved three-dimensional camera calibration.pt_BR
dc.typeArtigo publicado em periodicopt_BR
Appears in Collections:DECSI - Artigos publicados em periódicos

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