Research on a Dynamic Calibration Method for Photogrammetry Based on Rotary Motion Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/app13053317
Photogrammetry as an engineering measurement technology for the rapid and non-contact acquisition of geometric parameters, such as the attitude, position, and shape of a measured object, is widely used in the development and production processes of the aerospace and automobile industries. The calibration of a corresponding photogrammetry system is the basis for ensuring the accuracy of photogrammetry. The dynamic and static calibration of existing photogrammetry systems has not yet established a system calibration specification or standard, and such calibration has mainly focused on the internal and external parameters of the camera used in a photogrammetry system. The calibration of static parameters cannot fully guarantee the dynamic performance of a photogrammetry system in the process of measuring dynamic targets or micro-deformations. Aiming at the problem of dynamic parameter calibration of photogrammetry systems, this paper proposes a dynamic calibration method based on a circular trajectory standard device, which can realize the calibration of parameters, such as dynamic length measurement error, and ensure an accurate evaluation of the dynamic measurement performance of photogrammetry systems.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13053317
- https://www.mdpi.com/2076-3417/13/5/3317/pdf?version=1678093453
- OA Status
- gold
- Cited By
- 2
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323314408
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323314408Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app13053317Digital Object Identifier
- Title
-
Research on a Dynamic Calibration Method for Photogrammetry Based on Rotary MotionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-05Full publication date if available
- Authors
-
Jia Ou, Tingfa Xu, Xiaochuan Gan, Xuejun He, Yan Li, Jiansu Qu, Wei ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/app13053317Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/13/5/3317/pdf?version=1678093453Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-3417/13/5/3317/pdf?version=1678093453Direct OA link when available
- Concepts
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Photogrammetry, Calibration, Computer science, Trajectory, Computer vision, Position (finance), Process (computing), Remote sensing, Artificial intelligence, Geography, Mathematics, Astronomy, Economics, Operating system, Physics, Finance, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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