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Stability Analysis for a Multi-Camera Photogrammetric System

Consumer-grade digital cameras suffer from geometrical instability that may cause problems when used in photogrammetric applications. This paper provides a comprehensive review of this issue of interior orientation parameter variation over time, it explains the common ways used for coping with the i...

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Detalles Bibliográficos
Autores principales: Habib, Ayman, Detchev, Ivan, Kwak, Eunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178982/
https://www.ncbi.nlm.nih.gov/pubmed/25196012
http://dx.doi.org/10.3390/s140815084
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author Habib, Ayman
Detchev, Ivan
Kwak, Eunju
author_facet Habib, Ayman
Detchev, Ivan
Kwak, Eunju
author_sort Habib, Ayman
collection PubMed
description Consumer-grade digital cameras suffer from geometrical instability that may cause problems when used in photogrammetric applications. This paper provides a comprehensive review of this issue of interior orientation parameter variation over time, it explains the common ways used for coping with the issue, and describes the existing methods for performing stability analysis for a single camera. The paper then points out the lack of coverage of stability analysis for multi-camera systems, suggests a modification of the collinearity model to be used for the calibration of an entire photogrammetric system, and proposes three methods for system stability analysis. The proposed methods explore the impact of the changes in interior orientation and relative orientation/mounting parameters on the reconstruction process. Rather than relying on ground truth in real datasets to check the system calibration stability, the proposed methods are simulation-based. Experiment results are shown, where a multi-camera photogrammetric system was calibrated three times, and stability analysis was performed on the system calibration parameters from the three sessions. The proposed simulation-based methods provided results that were compatible with a real-data based approach for evaluating the impact of changes in the system calibration parameters on the three-dimensional reconstruction.
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spelling pubmed-41789822014-10-02 Stability Analysis for a Multi-Camera Photogrammetric System Habib, Ayman Detchev, Ivan Kwak, Eunju Sensors (Basel) Article Consumer-grade digital cameras suffer from geometrical instability that may cause problems when used in photogrammetric applications. This paper provides a comprehensive review of this issue of interior orientation parameter variation over time, it explains the common ways used for coping with the issue, and describes the existing methods for performing stability analysis for a single camera. The paper then points out the lack of coverage of stability analysis for multi-camera systems, suggests a modification of the collinearity model to be used for the calibration of an entire photogrammetric system, and proposes three methods for system stability analysis. The proposed methods explore the impact of the changes in interior orientation and relative orientation/mounting parameters on the reconstruction process. Rather than relying on ground truth in real datasets to check the system calibration stability, the proposed methods are simulation-based. Experiment results are shown, where a multi-camera photogrammetric system was calibrated three times, and stability analysis was performed on the system calibration parameters from the three sessions. The proposed simulation-based methods provided results that were compatible with a real-data based approach for evaluating the impact of changes in the system calibration parameters on the three-dimensional reconstruction. MDPI 2014-08-18 /pmc/articles/PMC4178982/ /pubmed/25196012 http://dx.doi.org/10.3390/s140815084 Text en © 2014 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
Habib, Ayman
Detchev, Ivan
Kwak, Eunju
Stability Analysis for a Multi-Camera Photogrammetric System
title Stability Analysis for a Multi-Camera Photogrammetric System
title_full Stability Analysis for a Multi-Camera Photogrammetric System
title_fullStr Stability Analysis for a Multi-Camera Photogrammetric System
title_full_unstemmed Stability Analysis for a Multi-Camera Photogrammetric System
title_short Stability Analysis for a Multi-Camera Photogrammetric System
title_sort stability analysis for a multi-camera photogrammetric system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178982/
https://www.ncbi.nlm.nih.gov/pubmed/25196012
http://dx.doi.org/10.3390/s140815084
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