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The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras

A novel and practical self-calibration method for misaligned non-central catadioptric cameras is proposed in this paper. Without the aid of any special calibration patterns in the scene, the developed method is able to automatically estimate the pose parameters of the mirror with respect to the pers...

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Detalles Bibliográficos
Autores principales: Xiang, Zhiyu, Sun, Bo, Dai, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435975/
https://www.ncbi.nlm.nih.gov/pubmed/22969346
http://dx.doi.org/10.3390/s120607299
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author Xiang, Zhiyu
Sun, Bo
Dai, Xing
author_facet Xiang, Zhiyu
Sun, Bo
Dai, Xing
author_sort Xiang, Zhiyu
collection PubMed
description A novel and practical self-calibration method for misaligned non-central catadioptric cameras is proposed in this paper. Without the aid of any special calibration patterns in the scene, the developed method is able to automatically estimate the pose parameters of the mirror with respect to the perspective camera. First it uses the ellipse corresponding to the mirror boundary in the image to compute the possible solutions for mirror postures. With two pose candidates, thereafter we propose a novel selection method to find the correct solution by using the image of the lens boundary. The whole calibration process is automatic and convenient to carry out since nothing more than a single image acquired from the catadioptric camera is needed. Experimental results both on synthesized and real images prove our success.
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spelling pubmed-34359752012-09-11 The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras Xiang, Zhiyu Sun, Bo Dai, Xing Sensors (Basel) Article A novel and practical self-calibration method for misaligned non-central catadioptric cameras is proposed in this paper. Without the aid of any special calibration patterns in the scene, the developed method is able to automatically estimate the pose parameters of the mirror with respect to the perspective camera. First it uses the ellipse corresponding to the mirror boundary in the image to compute the possible solutions for mirror postures. With two pose candidates, thereafter we propose a novel selection method to find the correct solution by using the image of the lens boundary. The whole calibration process is automatic and convenient to carry out since nothing more than a single image acquired from the catadioptric camera is needed. Experimental results both on synthesized and real images prove our success. Molecular Diversity Preservation International (MDPI) 2012-05-30 /pmc/articles/PMC3435975/ /pubmed/22969346 http://dx.doi.org/10.3390/s120607299 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Xiang, Zhiyu
Sun, Bo
Dai, Xing
The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title_full The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title_fullStr The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title_full_unstemmed The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title_short The Camera Itself as a Calibration Pattern: A Novel Self-Calibration Method for Non-Central Catadioptric Cameras
title_sort camera itself as a calibration pattern: a novel self-calibration method for non-central catadioptric cameras
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435975/
https://www.ncbi.nlm.nih.gov/pubmed/22969346
http://dx.doi.org/10.3390/s120607299
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