Calibration of Digital Cameras for Mobile Mapping Purposes

https://doi.org/10.22146/jgise.40817

Parningotan Hasudungan Situmorang(1*)

(1) Universitas Gadjah Mada
(*) Corresponding Author

Abstract


The development of the use of non-metric digital cameras in the form of action cameras for collecting geospatial data has become very useful and supports the work of mobile mapping for making three-dimensional (3D) models. Each lens has an error in the formation of a projection design and also an error during production. For example in a fisheye lens, which has a distortion model, namely radial distortion, tangential distortion, and shifting of the optical center point. The camera is considered to be calibrated if the principal distance, principal point offset, and lens distortion parameters are known. The preparation stage that needs to be done on the mobile mapping work in making 3D models is camera calibration. This research aims to determine the value of internal orientation parameters of a digital camera (action camera) that is used for mobile mapping purposes. Camera calibration in Photogrammetry aims to determine the geometric model of the camera described by Interior Orientation Parameters (IOP), including focal length, shifting principle point (PP), distortion, and other parameters. The calibration method used is the test field calibration. The calibration activities carried out on digital cameras are by measuring targets in the field using coded targets from Agisoft software. The calibration process is also carried out when processing photo data with Agisoft Photoscan Professional software. Camera calibration results using bundle adjustment on Agisoft Photoscan Professional software produce IOP (Interior Orientation Parameter) parameters, namely principal distance (C), principal point offset (Xp, Yp), and lens distortion parameters (K1, K2, K3, P1 , P2, B1, B2). Based on the results obtained, it can be concluded that Maximum Observational Radial Distance Encountered is 1 mm.

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References

Agisoft, P. (2017). Manual Agisoft Photoscan Professional. Retrieved from http://www.agisoft.com Ananingtyas, F., Prasetyo, Y., & Andri Suprayogi. (2016). APLIKASI FOTOGRAMMETRI JARAK DEKAT UNTUK PEMODELAN 3D WAJAH MANUSIA. Jurnal Geodesi Undip, 5(April), 179–189. Cox, B. C. (2016). Mobile Mapping Systems A Buyer ’ s Guide. 3D Laser Mapping, (March). Hanifa, N. R. (2007). Studi Penggunaan Kamera Digital Low-Cost Non-Metric Auto-Focus Untuk Pemantauan Deformasi. Institut Teknologi Bandung. Hassan, M. F. A., Ma’Arof, I., & Samad, A. M. (2014). Assessment of camera calibration towards accuracy requirement. Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014, 123–128. https://doi.org/10.1109/CSPA.2014.6805733 Pullivelli, A. (2005). Low-Cost Digital Cameras: Calibration, Stability Analysis, and Applications. UNIVERSITY OF CALGARY. Remondino, F., & Fraser, C. (2006). Digital camera calibration methods: Considerations and comparisons. International Archives of Photogrammetry and Remote Sensing, 36(5), 266–272. Tang, R. (2013). Mathematical Methods for Camera Self-Calibration in Photogrammetry and Computer Vision. University of Stuttgart, Munchen. Teo, T. (2015). Video-Based Point Cloud Generation Using Multiple Action Cameras. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(4W5), 55–60. https://doi.org/10.5194/isprsarchives-XL-4-W5-55-2015 Tommaselli, A. M. G., Marcato, J., Moraes, M. V. A., Silva, S. L. A., & Artero, A. O. (2014). Calibration of panoramic cameras with coded targets and a 3D calibration field. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(3W1), 137–142. https://doi.org/10.5194/isprsarchives-XL-3-W1-137-2014 Wolf, P. R., & Dewitt, B. A. (2000). Elements of Photogrammetry - With Applications in Gis. McGraw-Hill (4th ed., Vol. 3). United States: Mc Graw-Hill Education. https://doi.org/10.1016/B978-0-12-410422-8.00003-0



DOI: https://doi.org/10.22146/jgise.40817

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