Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications
Close-range photogrammetry (CRP) has proven to be a remarkable and affordable technique for data modeling and measurements extraction in construction management applications. Nevertheless, it is important to aim for making CRP more accessible by using smartphones on-site directly without a pre-calib...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1053 |
| _version_ | 1797489398800973824 |
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| author | Wahib Saif Adel Alshibani |
| author_facet | Wahib Saif Adel Alshibani |
| author_sort | Wahib Saif |
| collection | DOAJ |
| description | Close-range photogrammetry (CRP) has proven to be a remarkable and affordable technique for data modeling and measurements extraction in construction management applications. Nevertheless, it is important to aim for making CRP more accessible by using smartphones on-site directly without a pre-calibration procedure. This study evaluated the potential of smartphones as data acquisition tools in comparison with compact cameras based on the quality and accuracy of their photogrammetric results in extracting geometrical measurements (i.e., surface area and volume). Two concrete specimens of regular shapes (i.e., beam and cylinder) along with an irregular-shaped sand pile were used to conduct this study. The datasets of both cameras were analyzed and compared based on lens distortions, image residuals, and projections multiplicity. Furthermore, the photogrammetric models were compared according to various quality criteria, processing time, and memory utilization. Though both cameras were not pre-calibrated, they both provided highly accurate geometrical estimations. The volumetric estimation error ranged from 0.37% to 2.33% for the compact camera and 0.67% to 3.19% for the smartphone. For surface area estimations, the error ranged from 0.44% to 0.91% for the compact camera and 0.50% to 1.89% for the smartphone. Additionally, the smartphone data required less processing time and memory usage with higher applicability compared with the compact camera. The implication of these findings is that they provide professionals in construction management with an assessment of a more direct and cost-effective 3D data acquisition tool with a good understanding of its reliability. Moreover, the assessment methodology and comparison criteria presented in this study can assist future research in conducting similar studies for different capturing devices in construction management applications. The findings of this study are limited to small quantification applications. Therefore, it is recommended to conduct further research that assesses smartphones as a photogrammetric data acquisition tool for larger construction elements or tracking ongoing construction activities that involve measurements estimation. |
| first_indexed | 2024-03-10T00:15:56Z |
| format | Article |
| id | doaj.art-681d54f59257488390154c1a57aa91f5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:15:56Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-681d54f59257488390154c1a57aa91f52023-11-23T15:51:09ZengMDPI AGApplied Sciences2076-34172022-01-01123105310.3390/app12031053Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management ApplicationsWahib Saif0Adel Alshibani1Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaConstruction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaClose-range photogrammetry (CRP) has proven to be a remarkable and affordable technique for data modeling and measurements extraction in construction management applications. Nevertheless, it is important to aim for making CRP more accessible by using smartphones on-site directly without a pre-calibration procedure. This study evaluated the potential of smartphones as data acquisition tools in comparison with compact cameras based on the quality and accuracy of their photogrammetric results in extracting geometrical measurements (i.e., surface area and volume). Two concrete specimens of regular shapes (i.e., beam and cylinder) along with an irregular-shaped sand pile were used to conduct this study. The datasets of both cameras were analyzed and compared based on lens distortions, image residuals, and projections multiplicity. Furthermore, the photogrammetric models were compared according to various quality criteria, processing time, and memory utilization. Though both cameras were not pre-calibrated, they both provided highly accurate geometrical estimations. The volumetric estimation error ranged from 0.37% to 2.33% for the compact camera and 0.67% to 3.19% for the smartphone. For surface area estimations, the error ranged from 0.44% to 0.91% for the compact camera and 0.50% to 1.89% for the smartphone. Additionally, the smartphone data required less processing time and memory usage with higher applicability compared with the compact camera. The implication of these findings is that they provide professionals in construction management with an assessment of a more direct and cost-effective 3D data acquisition tool with a good understanding of its reliability. Moreover, the assessment methodology and comparison criteria presented in this study can assist future research in conducting similar studies for different capturing devices in construction management applications. The findings of this study are limited to small quantification applications. Therefore, it is recommended to conduct further research that assesses smartphones as a photogrammetric data acquisition tool for larger construction elements or tracking ongoing construction activities that involve measurements estimation.https://www.mdpi.com/2076-3417/12/3/1053close range photogrammetry (CRP)geometrical accuracyphotomodels qualityself-calibrationdigital camerasmartphone |
| spellingShingle | Wahib Saif Adel Alshibani Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications Applied Sciences close range photogrammetry (CRP) geometrical accuracy photomodels quality self-calibration digital camera smartphone |
| title | Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications |
| title_full | Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications |
| title_fullStr | Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications |
| title_full_unstemmed | Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications |
| title_short | Smartphone-Based Photogrammetry Assessment in Comparison with a Compact Camera for Construction Management Applications |
| title_sort | smartphone based photogrammetry assessment in comparison with a compact camera for construction management applications |
| topic | close range photogrammetry (CRP) geometrical accuracy photomodels quality self-calibration digital camera smartphone |
| url | https://www.mdpi.com/2076-3417/12/3/1053 |
| work_keys_str_mv | AT wahibsaif smartphonebasedphotogrammetryassessmentincomparisonwithacompactcameraforconstructionmanagementapplications AT adelalshibani smartphonebasedphotogrammetryassessmentincomparisonwithacompactcameraforconstructionmanagementapplications |