Digital Model in Close-Range Photogrammetry Using a Smartphone Camera

Ataiwe, Tariq N.; Hatem, Israa; Sharaa, Hisham M. Jawad Al

doi:10.1051/e3sconf/202131804005

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…The most common solution is on-the-job calibration. Among the many smartphone photogrammetry publications, only a small part of them contain information on calibration [ 30 , 40 , 41 , 59 , 64 , 67 , 72 , 74 , 76 , 78 , 90 , 93 , 97 , 98 , 99 , 100 , 101 , 102 , 103 ].…”

Section: Introductionmentioning

confidence: 99%

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Jasińska

Pyka

Pastucha

et al. 2023

Sensors

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Recently, the term smartphone photogrammetry gained popularity. This suggests that photogrammetry may become a simple measurement tool by virtually every smartphone user. The research was undertaken to clarify whether it is appropriate to use the Structure from Motion—Multi Stereo View (SfM-MVS) procedure with self-calibration as it is done in Uncrewed Aerial Vehicle photogrammetry. First, the geometric stability of smartphone cameras was tested. Fourteen smartphones were calibrated on the checkerboard test field. The process was repeated multiple times. These observations were found: (1) most smartphone cameras have lower stability of the internal orientation parameters than a Digital Single-Lens Reflex (DSLR) camera, and (2) the principal distance and position of the principal point are constantly changing. Then, based on images from two selected smartphones, 3D models of a small sculpture were developed. The SfM-MVS method was used, with self-calibration and pre-calibration variants. By comparing the resultant models with the reference DSLR-created model it was shown that introducing calibration obtained in the test field instead of self-calibration improves the geometry of 3D models. In particular, deformations of local concavities and convexities decreased. In conclusion, there is real potential in smartphone photogrammetry, but it also has its limits.

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Section: Introductionmentioning

confidence: 99%

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Jasińska

Pyka

Pastucha

et al. 2023

Sensors

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“…Detailed representation of stress disorder Vehicle engineering is useful to determine the year Downtime parameters, such as effect configuration and deployment Collision kinetics by drawing a 3D model of the vehicle [10]. Smartphones have lately increased the possibilities for low-cost 3D modelling using close-range photogrammetry [11]. Assess the feasibility of applying three-dimensional modelling of close-range photogrammetry in recording archaeological sites using digital photogrammetry image processing software and a digital consumer camera.…”

Section: Introductionmentioning

confidence: 99%

Smart city 3D modeling with a total station and a smartphone

Hussein

Alwan²,

Ataiwe³

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Modern technology has radically altered documentation and has promised to do so again. Photographic and non-photographic documentation tools are combined into a single operation in which digital imaging technology is the mainstay. 3D support is still not popular among users involved in documenting the facades of modern buildings or important historical sites. This is a very important technique nowadays for (memorizing, preserving, restoring, and protecting) the facades of modern buildings or historical sites that need restoration and continuous follow-up. Cost and time play a vital role in the quick development of documentation strategies and tools to provide a true comparison between these methods. Surveyors can now complete projects with unprecedented precision because of advancements in hardware and software technology. For their daily activities, surveyors now rely on contemporary electronic instruments such as total stations and GPS. When conducting work, the surveyor always chooses the most appropriate equipment and the most cost-effective method of completing it. There are numerous microchips on the market nowadays. Surveyors can benefit from tools like GPS, complete bot stations, and digital levels. Over time, large, expensive survey equipment has been replaced with the smallest, most powerful equipment available. For example, the 3D ground laser is a highly expensive piece of equipment due to the high cost of the laser scanner. An alternative technology has been developed which is the use of the Total Station. The type is capable of scanning interfaces through a cloud of points based on the control point and back sight (B.S) and processing them by the software used to process the data acquired by the laser scanner. The 3D results of the output model from Total Station are compared with the model’s output from smartphone camera images after processing. In this paper, the interface is scanned, and its details will be mentioned in the case study.

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“…Tariq N. Ataiwe et al . [29] used a smartphone camera for 3D modeling. The error in three directions was X err .…”

Section: Introductionmentioning

confidence: 99%

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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Digital Model in Close-Range Photogrammetry Using a Smartphone Camera

Cited by 8 publications

References 15 publications

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Smart city 3D modeling with a total station and a smartphone

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

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