Abstract
This paper presents an empirical methodology to assess the quality of camera calibration and to check out the effects of image geometry in 3D photogrammetric reconstruction. The proposed methodology is applied to the simple stereo-pair configuration, but it is also suitable to be extended to larger image block geometries. The basic concept consists in the empirical evaluation of potential effects of biases in camera calibration within the use of a 3D test field. The multiple repetition of the standard camera calibration procedure in order to provide a sample of parameter values to be averaged, is demonstrated to guarantee a better determination of the whole set of calibration parameters. It is also demonstrated that, as the background theory supports, a longer baseline and a small convergence angle between camera stations may furnish the best results in term of accuracy.
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Notes
- 1.
The group of calibration parameters including c, xP and yP are often referred to as inner orientation (Kraus 2008).
References
Barazzetti L, Forlani G, Remondino F, Roncella R, Scaioni M (2011a) Experiences and achievements in automated image sequence orientation for close-range photogrammetric projects. In: Proceedings of SPIE, vol 8085, paper No. 80850F, 13 p
Barazzetti L, Mussio L, Remondino F, Scaioni M (2011b) Targetless camera calibration. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol 38, Part 5/W16, 8 p
Brown CD (1971) Close-range camera calibration. Photogram Eng 37(8):855–866
Feng T, Mi H, Scaioni M, Qiao G, Lu P, Wang W, Tong X, Li R (2016) Measurement of surface changes in a scaled-down landslide model using high-speed stereo image sequences. Photogram Eng Remote Sens 82(7):547–557
Fraser CS (1996) Network design. In: Atkinson KB (ed) Close-range photogrammetry and machine vision. Whittles Publishing, UK, pp 256–282
Kraus K (2008) Photogrammetry—geometry from images and laser scans. Walter de Gruyter, Berlin
Hartmann W, Havlena M, Schindler K (2016) Recent developments in large-scale tie-point matching. ISPRS J Photogram Remote Sens 115:47–62
Hartley RI, Zisserman A (2004) Multiple view geometry in computer vision, 2nd edn. Cambridge University Press, Cambridge, p 672
Luhmann T, Robson S, Kyle S, Boehm J (2014) Close range photogrammetry: 3D imaging techniques, 2nd edn. Walter De Gruyter Inc., Germany, 684 p
Luhmann T, Fraser C, Mass H-G (2016) Sensor modelling and camera calibration for close-range photogrammetry. ISPRS J Photogram Remote Sens 115:37–46
Roncella R, Forlani G (2015) A fixed terrestrial photogrammetric system for landslide monitoring. In: Scaioni M (ed) Modern technologies for landslide monitoring and prediction. Springer, Germany, pp 43–68
Snavely N, Seitz SM, Szeliski R (2008) Modeling the world from internet photo collections. Int J Comput Vis 80(2):189–210
Triggs B, McLauchlan P, Hartley R, Fitzgibbon A (2000) Bundle adjustment—a modern synthesis. In: International workshop on vision algorithms, Springer, Berlin Heidelberg, paper no. 1883, pp 298–372
Acknowledgements
This research was supported by the National Science Foundation of China (project No. 41201425) and the Fundamental Research Funds for the Central Universities.
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Zhang, X., Qiao, G., Scaioni, M. (2018). Evaluation of 3D Reconstruction Accuracy in the Case of Stereo Camera-Pose Configuration. In: Cefalo, R., Zieliński, J., Barbarella, M. (eds) New Advanced GNSS and 3D Spatial Techniques. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-56218-6_14
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