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Achieving close range photogrammetry with non-metric mobile phone cameras

    Joseph Olayemi Odumosu   Affiliation
    ; Oluibukun Gbenga Ajayi   Affiliation
    ; Victor Chukwuemeka Nnam Affiliation
    ; Samuel Ajayi Affiliation

Abstract

Close range photogrammetry (CRP) has gained increasing relevance over the years with its principles and theories being applied in diverse applications. Further supporting this trend, the current increase in the wide spread usage of mobile phones with high resolution cameras is expected to further popularize positioning by CRP. This paper presents the results of an experimental study wherein two (2) non-metric mobile phone cameras have been used to determine the 3-D coordinates of points on a building by using the collinearity condition equation in an iterative least square bundle adjustment process in MATLAB software environment. The two (2) mobile phones used were Tecno W3 and Infinix X509 phones with focal lengths of 5.432 mm and 8.391 mm respectively. Statistical tests on the results obtained shows that there is no significant difference between the 3-D coordinates obtained by ground survey and those obtained from both cameras at 99% confidence level. Furthermore, the study confirmed the capability of non-metric mobile phone cameras to determine 3D point positions to centimeter level accuracy (with maximum residuals of 11.8 cm, 31.0 cm, and 5.9 cm for the Tecno W3 camera and 14.6 cm, 16.1 cm and 1.8 cm for the Infinix X509 camera in the Eastings, Northings and Heights respectively).

Keyword : collinearity equation, space resection, space intersection, 3D object space coordinate, non-metric cameras

How to Cite
Odumosu, J. O., Ajayi, O. G., Nnam, V. C., & Ajayi, S. (2021). Achieving close range photogrammetry with non-metric mobile phone cameras. Geodesy and Cartography, 47(2), 71-79. https://doi.org/10.3846/gac.2021.12241
Published in Issue
Jul 15, 2021
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Abbaszadeh, S. A., & Rastiveis, H. (2017). A comparison of close-range photogrammetry using a non-professional camera with field surveying for volume estimation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-4/W4, 1–4. https://doi.org/10.5194/isprs-archives-XLII-4-W4-1-2017

Alsadik, B. (2010). Space resection by collinearity equations. Curriculum book of “Analytical photogrammetry” – 2009. Baghdad University, College of engineering, Surveying Dept.

Brandow, V. D., Karara, H. M., Damberger, H. H., & Krausse, H. F. (1976). A non-metric close range photogrammetric system for mapping geologic structure in mines. Photogrammetric Engineering and Remote Sensing, 42(5), 637–648. https://www.asprs.org/wp-content/uploads/pers/1976journal/may/1976_may_637-648.pdf

Elnima, E. E. (2013). A solution for exterior and relative orientation in photogrammetry: A genetic evolution approach. Journal of King Saud University – Engineering Sciences, 27(1), 108–113. https://doi.org/10.1016/j.jksues.2013.05.004

Fraser, C. (2015). Advances in close range photogrammetry. In Photogrametric Week’15 (pp. 257–268). Wichmann/ VDE Verlag. https://phowo.ifp.uni-stuttgart.de/publications/phowo15/260Fraser.pdf

Jacobsen, K. (2001). Exterior orientation parameters. Journal of Photogrammetric Engineering and Remote Sensing, 1321–1332.

Jechev, D. (2004). Close range photogrammetry with amateur cameras. ISPRS Archives, Vol. XXXV, Part B8, 136–138. https://www.isprs.org/proceedings/XXXV/congress/yf/yf.aspx

Jiang, R., Jáuregui, D. V., & White, K. R. (2008). Close-range photogrammetry applications in bridge measurement: Literature review. Measurements, 41(8), 823–834. https://doi.org/10.1016/j.measurement.2007.12.005

Karara, H. M. (1972). Simple cameras for close range applications. In Photogrammetric Engineering (pp. 447–451). https://www.asprs.org/wp-content/uploads/pers/1972journal/may/1972_may_447-451.pdf

Luhmann, T., Robson, S., Kyle, S., & Harley, I. (2006). Close range photogrammetry: Principles, techniques and applications (1st ed.). Whittles Publishing. https://www.researchgate.net/publication/237045019_Close_Range_Photogrammetry_Principles_Techniques_and_Applications

Mikhail, E. M., Bethel, J. S., & McGlone, J. C (2001). Introduction to modern photogrammetry. John Wiley & Sons Inc. https://www.wiley.com/en-us/Introduction+to+Modern+Photogrammetry-p-9780471309246

Mokroš, M, Liang, X., Surovy, P., Valent, P., Cernava, J., Chudy, F., Tunak, D., Salon, S., & Merganic, J. (2018). Evaluation of close range photogrammetry image collection methods for estimating tree diameters. ISPRS International Journal of Geo-information, 7(3), 93. https://doi.org/10.3390/ijgi7030093

Mokroš, M., Liang, X., Surový, P., Valent, P., Cernava, J., Chudý, F., Tunák, D., Salon, Š., & Merganic, J. (2013). Evaluation of close-range photogrammetry image. International Journal of Geo-information, 7(3), 1–13.

Ruther, H., Smit, J., & Kamamba, D. (2012). A comparison of close-range photogrammetry to terrestrial laser scanning for heritage documentation. South African Journal of Geomatics, 1(2), 149–162. https://open.uct.ac.za/handle/11427/25961

Seedahmed, G. H., & Habib, A. F. (2015). Linear recovery of the exterior orientation parameters in a planar object space. Commission III, WG III/I. https://www.isprs.org/proceedings/xxxiv/part3/papers/paper123.pdf

Snedecor, G. W., & Cochran, W. G. (1989). Statistical methods (8th ed.). Wiley-Blackwell.

Wolf, P. R., Dewitt, B. A., & Wilkinson, B. E. (2014). Elements of photogrammetry with applications in GIS (4th ed.). McGrawHill Professional. https://www.accessengineeringlibrary.com/content/book/9780071761123

Zhang, Z. (2000). A flexible new technique for camera calibration. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1330–1334. https://doi.org/10.1109/34.888718