Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/12836
Title: Using geometric interval algebra modeling for improved three-dimensional camera calibration.
Authors: Brito, Darlan Nunes de
Pádua, Flávio Luis Cardeal
Lopes, Aldo Peres Campos e
Keywords: Image geometry
Projective geometry
Issue Date: 2019
Citation: BRITO, 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: <https://link.springer.com/article/10.1007/s10851-019-00907-x>. Acesso em: 10 mar. 2020.
Abstract: This 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.
URI: http://www.repositorio.ufop.br/handle/123456789/12836
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007/s10851-019-00907-x
metadata.dc.identifier.doi: https://doi.org/10.1007/s10851-019-00907-x
ISSN: 1573-7683
Appears in Collections:DECSI - Artigos publicados em periódicos

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