Study on the Technologies of Close Range Photogrammetry and Applications in the Manufacture of Aviation

Zhao, Gang; Zhang, Chengyang; Jing, Xishuang; Ling, Xuanzhe; Chen, Siyu

doi:10.2991/icmse-18.2018.91

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Because it is based on the computer processing of photogrammetric images, digital photogrammetry is a highly practical domain [30]. Close-range photogrammetry allows for the extraction of three-dimensional coordinates of an object from twodimensional digital photographs in a rapid, highly accurate, highly efficient, good stable, contactless, reliable, flexible, and large measurement range, and the economical way [1,15]. The central perspective projection is the fundamental concept for modeling in digital close-range photogrammetry.…”

Section: Digital Close-range Photogrammetrymentioning

confidence: 99%

“…Also, it is used in topography and landslide measurements [1], monitoring slope displacement [5], buildings and structures deformation monitoring [13], and traffic accident management [14]. Moreover, digital close-range photogrammetry is widely used in industry [15,16,17,18,19], archaeology [20], architectural and cultural heritage documentation [21,22], agriculture [23], mineralogy [24], and clinical and medical applications [25].…”

Section: Introductionmentioning

confidence: 99%

“…Figure 2: The Central Perspective Projection [31]Figure3: Data processing in close-range photogrammetry[15] …”

mentioning

confidence: 99%

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Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Hadi¹,

Khalaf²

2022

ETJ

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 Determination of real scale model coordinates.  Determination of camera interior orientation parameters (IOPs).  Determination of camera exterior orientation parameters (EOPs).  The bundle block adjustment method (BBA) is used in photogrammetric processing based on the collinearity equation.  Assessment of results through statistical analysis showed a reliable accuracy where the overall accuracy of work is 5 mm.Three-dimensional (3D) real-scale models delivered from digital photogrammetric techniques have rapidly increased to meet the requirements of many applications in different fields of daily life. This paper deals with establishing a 3D real-scale model from a block of images (18 images) captured using a Canon EOS 500D digital camera to cover a test field area consisting of 90 artificial target points, 25 of which are ground control points (GCPs). At the same time, the remains are checkpoints (CPs). The analytical photogrammetric processes, including the calculation of interior orientation parameters (IOPs) of the camera during the camera calibration process and exterior orientation parameters (EOPs) of the camera in each capture. The model's object space (ground) coordinates are calculated simultaneously based on the collinearity equation using the bundle block adjustment method (BBA). Assessment and validation of the accuracy of the results is an important task in this study that was implemented to determine and analyze the errors of 3D coordinates through linear regression analysis (LRA). Root mean square error (RMSE) is the statistical parameter used in the statistical analysis of results. The standard error is another statistical parameter used to evaluate the accuracy of camera locations and rotation angles (EOPs). The total RMSE (RMSE) xyz of GCPs is ± 2.530 mm, while the total RMSE (RMSExyz) of CPs is ± 2.740 mm. The overall accuracy of the work is 5.000 mm.

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Section: Digital Close-range Photogrammetrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Hadi¹,

Khalaf²

2022

ETJ

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A review on application of laser tracker in precision positioning metrology of particle accelerators

Vikas

Sahu

2021

Precision Engineering

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Research on a Dynamic Calibration Method for Photogrammetry Based on Rotary Motion

Gan

et al. 2023

Applied Sciences

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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.

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Study on the Technologies of Close Range Photogrammetry and Applications in the Manufacture of Aviation

Cited by 4 publications

References 9 publications

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

A review on application of laser tracker in precision positioning metrology of particle accelerators

Research on a Dynamic Calibration Method for Photogrammetry Based on Rotary Motion

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