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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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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. |
format | Online Article Text |
id | pubmed-4178982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT habibayman stabilityanalysisforamulticameraphotogrammetricsystem AT detchevivan stabilityanalysisforamulticameraphotogrammetricsystem AT kwakeunju stabilityanalysisforamulticameraphotogrammetricsystem |