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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/8/15084 |
| _version_ | 1811308294394871808 |
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| author | Ayman Habib Ivan Detchev Eunju Kwak |
| author_facet | Ayman Habib Ivan Detchev Eunju Kwak |
| author_sort | Ayman Habib |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T09:20:37Z |
| format | Article |
| id | doaj.art-01a84d87669f4061872b771bc2a2412a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:20:37Z |
| publishDate | 2014-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-01a84d87669f4061872b771bc2a2412a2022-12-22T02:52:36ZengMDPI AGSensors1424-82202014-08-01148150841511210.3390/s140815084s140815084Stability Analysis for a Multi-Camera Photogrammetric SystemAyman Habib0Ivan Detchev1Eunju Kwak2Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, CanadaDepartment of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, CanadaNovAtel Inc., 1120 68th Avenue NE, Calgary, AB, T2E 8S5, CanadaConsumer-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.http://www.mdpi.com/1424-8220/14/8/15084system calibrationsimulation-based stability analysisforward/backward projectionimage/object space parallaxnormalized coordinate generation |
| spellingShingle | Ayman Habib Ivan Detchev Eunju Kwak Stability Analysis for a Multi-Camera Photogrammetric System Sensors system calibration simulation-based stability analysis forward/backward projection image/object space parallax normalized coordinate generation |
| 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 | system calibration simulation-based stability analysis forward/backward projection image/object space parallax normalized coordinate generation |
| url | http://www.mdpi.com/1424-8220/14/8/15084 |
| work_keys_str_mv | AT aymanhabib stabilityanalysisforamulticameraphotogrammetricsystem AT ivandetchev stabilityanalysisforamulticameraphotogrammetricsystem AT eunjukwak stabilityanalysisforamulticameraphotogrammetricsystem |