Research Article
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Year 2021, Volume: 6 Issue: 2, 74 - 80, 01.07.2021
https://doi.org/10.26833/ijeg.691696

Abstract

References

  • Abdel-Aziz Y I & Karara H M (2015). Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Photogrammetric Engineering & Remote Sensing. 81(1), 103–107. DOI: 10.14358/PERS.81.2.103
  • Akçay O, Erenoğlu R C & Avsar E O (2017). The effect of JPEG compression in close range photogrammetry. International Journal of Engineering and Geosciences, 2(1), 35-40. DOI: 10.26833/ijeg.287308
  • Drap P & Lefèvre J (2016). An exact formula for calculating inverse radial lens distortions. Sensors, 16(6), 807. DOI: 10.3390/s16060807
  • Duran Z & Aydar U (2012). Digital modeling of world's first known length reference unit: The Nippur cubit rod. Journal of Cultural Heritage 13(3), 352-356. DOI: 10.1016/j.culher.2011.12.006
  • Hemayed E E (2003). A survey of camera self-calibration. Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 351-357. DOI: 10.1109/AVSS.2003.1217942
  • Kraus K (1993). Photogrammetry, I. Fundamentals and standard processes. Dümmlers, 1. ISBN 978-3427786849
  • Lichti D D, Kim C & Jamtsho S (2010). An integrated bundle adjustment approach to range camera geometric self-calibration. ISPRS Journal of Photogrammetry and Remote Sensing, 65(4), 360-368. DOI: 10.1016/j.isprsjprs.2010.04.002
  • Linder W (2009). Digital Photogrammetry – A Practical Course, 3 ed. Springer-Verlag Berlin, Heidelberg. ISBN 978-3-662-50463-5
  • Nex F & Remondino F (2014). UAV for 3D mapping applications: a review. Applied Geomatics, 6, 1-15.
  • Ozdemir E & Duran Z (2017). Comparison of commonly used camera calibration software. Afyon Kocatepe University Journal of Science and Engineering, 17(4), 1-11. (in Turkish)
  • Reis H Ç (2018). Bone anomaly of the foot detection using medical photogrammetry. International Journal of Engineering and Geosciences, 3(1), 1-5. DOI: 10.26833/ijeg.333686
  • Song L, Wu W, Guo J & Li X (2013). Survey on camera calibration technique. 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2, 389-392. DOI: 10.1109/IHMSC.2013.240
  • Tasdemir S, Urkmez A, Yakar M & Inal S (2009). Determination of camera calibration parameters at digital image analysis. 5th International Advanced Technologies Symposium (IATS’09). (in Turkish)
  • Ulvi A & Toprak A S (2016). Investigation of three-dimensional modelling availability taken photograph of the unmanned aerial vehicle; sample of Kanlidivane Church. International Journal of Engineering and Geosciences, 1(1), 1-7. DOI: 10.26833/ijeg.285216
  • Yemenicioglu C, Kaya S & Seker D Z (2016). Accuracy of 3D (Three-dimensional) terrain models in simulations. International Journal of Engineering and Geosciences, 1(1), 30-33. DOI: 10.26833/ijeg.285223
  • Zhang Z (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1330–1334. DOI: 10.1109/34.888718
  • Zhao H, Wang Z, Jiang H, Xu Y & Dong C (2015). Calibration for stereo vision system based on phase matching and bundle adjustment algorithm. Optics and Lasers in Engineering, 68, 203-213. DOI:10.1016/j.optlaseng.2014.12.001

Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method

Year 2021, Volume: 6 Issue: 2, 74 - 80, 01.07.2021
https://doi.org/10.26833/ijeg.691696

Abstract

The integration of computer vision algorithms and photogrammetric methods leads to procedures that increasingly automate the image-based 3D modeling process. The main objective of photogrammetry is to obtain a three-dimensional model using terrestrial or aerial images. Calibration of the camera and detection of the orientation parameters are important for obtaining accurate and reliable 3D models. For this purpose, many methods have been developed in the literature. However, since each method has different mathematical background, calibration results may be different. In this study, the effect of camera interior orientation parameters obtained from different methods on the accuracy of three-dimensional model will be examined. In this context, a test area consisting of 21 points was used. The test network was coordinated in a local coordinate system using geodetic methods. Some points of the test area were selected as the check point and accuracy analysis was performed. Direct Linear Transformation (DLT) method, MATLAB, Agisoft Lens, Photomodeler, 3D Flow Zephyr software were analysed. The lowest error value of 7.7 cm was achieved by modelling with Agisoft Lens.

References

  • Abdel-Aziz Y I & Karara H M (2015). Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Photogrammetric Engineering & Remote Sensing. 81(1), 103–107. DOI: 10.14358/PERS.81.2.103
  • Akçay O, Erenoğlu R C & Avsar E O (2017). The effect of JPEG compression in close range photogrammetry. International Journal of Engineering and Geosciences, 2(1), 35-40. DOI: 10.26833/ijeg.287308
  • Drap P & Lefèvre J (2016). An exact formula for calculating inverse radial lens distortions. Sensors, 16(6), 807. DOI: 10.3390/s16060807
  • Duran Z & Aydar U (2012). Digital modeling of world's first known length reference unit: The Nippur cubit rod. Journal of Cultural Heritage 13(3), 352-356. DOI: 10.1016/j.culher.2011.12.006
  • Hemayed E E (2003). A survey of camera self-calibration. Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 351-357. DOI: 10.1109/AVSS.2003.1217942
  • Kraus K (1993). Photogrammetry, I. Fundamentals and standard processes. Dümmlers, 1. ISBN 978-3427786849
  • Lichti D D, Kim C & Jamtsho S (2010). An integrated bundle adjustment approach to range camera geometric self-calibration. ISPRS Journal of Photogrammetry and Remote Sensing, 65(4), 360-368. DOI: 10.1016/j.isprsjprs.2010.04.002
  • Linder W (2009). Digital Photogrammetry – A Practical Course, 3 ed. Springer-Verlag Berlin, Heidelberg. ISBN 978-3-662-50463-5
  • Nex F & Remondino F (2014). UAV for 3D mapping applications: a review. Applied Geomatics, 6, 1-15.
  • Ozdemir E & Duran Z (2017). Comparison of commonly used camera calibration software. Afyon Kocatepe University Journal of Science and Engineering, 17(4), 1-11. (in Turkish)
  • Reis H Ç (2018). Bone anomaly of the foot detection using medical photogrammetry. International Journal of Engineering and Geosciences, 3(1), 1-5. DOI: 10.26833/ijeg.333686
  • Song L, Wu W, Guo J & Li X (2013). Survey on camera calibration technique. 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2, 389-392. DOI: 10.1109/IHMSC.2013.240
  • Tasdemir S, Urkmez A, Yakar M & Inal S (2009). Determination of camera calibration parameters at digital image analysis. 5th International Advanced Technologies Symposium (IATS’09). (in Turkish)
  • Ulvi A & Toprak A S (2016). Investigation of three-dimensional modelling availability taken photograph of the unmanned aerial vehicle; sample of Kanlidivane Church. International Journal of Engineering and Geosciences, 1(1), 1-7. DOI: 10.26833/ijeg.285216
  • Yemenicioglu C, Kaya S & Seker D Z (2016). Accuracy of 3D (Three-dimensional) terrain models in simulations. International Journal of Engineering and Geosciences, 1(1), 30-33. DOI: 10.26833/ijeg.285223
  • Zhang Z (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1330–1334. DOI: 10.1109/34.888718
  • Zhao H, Wang Z, Jiang H, Xu Y & Dong C (2015). Calibration for stereo vision system based on phase matching and bundle adjustment algorithm. Optics and Lasers in Engineering, 68, 203-213. DOI:10.1016/j.optlaseng.2014.12.001
There are 17 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Zaide Duran 0000-0002-1608-0119

Muhammed Enes Atik 0000-0003-2273-7751

Publication Date July 1, 2021
Published in Issue Year 2021 Volume: 6 Issue: 2

Cite

APA Duran, Z., & Atik, M. E. (2021). Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method. International Journal of Engineering and Geosciences, 6(2), 74-80. https://doi.org/10.26833/ijeg.691696
AMA Duran Z, Atik ME. Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method. IJEG. July 2021;6(2):74-80. doi:10.26833/ijeg.691696
Chicago Duran, Zaide, and Muhammed Enes Atik. “Accuracy Comparison of Interior Orientation Parameters from Different Photogrammetric Software and Direct Linear Transformation Method”. International Journal of Engineering and Geosciences 6, no. 2 (July 2021): 74-80. https://doi.org/10.26833/ijeg.691696.
EndNote Duran Z, Atik ME (July 1, 2021) Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method. International Journal of Engineering and Geosciences 6 2 74–80.
IEEE Z. Duran and M. E. Atik, “Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method”, IJEG, vol. 6, no. 2, pp. 74–80, 2021, doi: 10.26833/ijeg.691696.
ISNAD Duran, Zaide - Atik, Muhammed Enes. “Accuracy Comparison of Interior Orientation Parameters from Different Photogrammetric Software and Direct Linear Transformation Method”. International Journal of Engineering and Geosciences 6/2 (July 2021), 74-80. https://doi.org/10.26833/ijeg.691696.
JAMA Duran Z, Atik ME. Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method. IJEG. 2021;6:74–80.
MLA Duran, Zaide and Muhammed Enes Atik. “Accuracy Comparison of Interior Orientation Parameters from Different Photogrammetric Software and Direct Linear Transformation Method”. International Journal of Engineering and Geosciences, vol. 6, no. 2, 2021, pp. 74-80, doi:10.26833/ijeg.691696.
Vancouver Duran Z, Atik ME. Accuracy comparison of interior orientation parameters from different photogrammetric software and direct linear transformation method. IJEG. 2021;6(2):74-80.