Geometric Evaluation of Mobile-Phone Camera Images for 3D Information
This study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibr...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Optics |
| Online Access: | http://dx.doi.org/10.1155/2019/8561380 |
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| _version_ | 1832563843999465472 |
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| author | Ferruh Yilmazturk Ali Ersin Gurbak |
| author_facet | Ferruh Yilmazturk Ali Ersin Gurbak |
| author_sort | Ferruh Yilmazturk |
| collection | DOAJ |
| description | This study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibration reference object, with signalized points having known three-dimensional (3D) coordinates. In the calibration process, the self-calibration bundle adjustment method was used. To evaluate the metric performances, the geometric accuracy tests in the image and object spaces were performed and the test results were compared. In the second stage, a 3D mesh model of a historical cylindrical structure (height = 8 m and diameter = 5 m) was generated using Structure-from-Motion and Multi-View-Stereo (SfM-MVS) approach. The images were captured using the Galaxy S4 smartphone camera, which produced the best result in the geometric accuracy tests for smartphone cameras. The accuracy tests on the generated 3D model were also applied in order to examine 3D object reconstruction capabilities of imaging with this device. The results demonstrated that smartphone cameras can be easily used as image acquisition tools for multiple photogrammetric applications. |
| format | Article |
| id | doaj-art-5c455ca414ad467292b75eb0e056fa0f |
| institution | Kabale University |
| issn | 1687-9384 1687-9392 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Optics |
| spelling | doaj-art-5c455ca414ad467292b75eb0e056fa0f2025-02-03T01:12:27ZengWileyInternational Journal of Optics1687-93841687-93922019-01-01201910.1155/2019/85613808561380Geometric Evaluation of Mobile-Phone Camera Images for 3D InformationFerruh Yilmazturk0Ali Ersin Gurbak1Geomatics Engineering, Engineering Faculty, Aksaray University, Aksaray 68100, TurkeyThe State Hydraulic Works, XII. Region Directorate, Kayseri 38010, TurkeyThis study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibration reference object, with signalized points having known three-dimensional (3D) coordinates. In the calibration process, the self-calibration bundle adjustment method was used. To evaluate the metric performances, the geometric accuracy tests in the image and object spaces were performed and the test results were compared. In the second stage, a 3D mesh model of a historical cylindrical structure (height = 8 m and diameter = 5 m) was generated using Structure-from-Motion and Multi-View-Stereo (SfM-MVS) approach. The images were captured using the Galaxy S4 smartphone camera, which produced the best result in the geometric accuracy tests for smartphone cameras. The accuracy tests on the generated 3D model were also applied in order to examine 3D object reconstruction capabilities of imaging with this device. The results demonstrated that smartphone cameras can be easily used as image acquisition tools for multiple photogrammetric applications.http://dx.doi.org/10.1155/2019/8561380 |
| spellingShingle | Ferruh Yilmazturk Ali Ersin Gurbak Geometric Evaluation of Mobile-Phone Camera Images for 3D Information International Journal of Optics |
| title | Geometric Evaluation of Mobile-Phone Camera Images for 3D Information |
| title_full | Geometric Evaluation of Mobile-Phone Camera Images for 3D Information |
| title_fullStr | Geometric Evaluation of Mobile-Phone Camera Images for 3D Information |
| title_full_unstemmed | Geometric Evaluation of Mobile-Phone Camera Images for 3D Information |
| title_short | Geometric Evaluation of Mobile-Phone Camera Images for 3D Information |
| title_sort | geometric evaluation of mobile phone camera images for 3d information |
| url | http://dx.doi.org/10.1155/2019/8561380 |
| work_keys_str_mv | AT ferruhyilmazturk geometricevaluationofmobilephonecameraimagesfor3dinformation AT aliersingurbak geometricevaluationofmobilephonecameraimagesfor3dinformation |