Sensor modelling and camera calibration for close-range photogrammetry

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 115, Issue , 2016, Pages 37-46

  Luhmann, Thomas ^a   Fraser, Clive ^b   Maas, Hans Gerd ^c  

^a JADE UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Accuracy; Camera calibration; Network configuration; Precision; Self calibration; Sensor modelling

Indexed keywords

PHOTOGRAMMETRY;

ACCURACY; CAMERA CALIBRATION; NETWORK CONFIGURATION; PRECISION; SELF CALIBRATION; SENSOR MODELLING;

CALIBRATION;

ACCURACY ASSESSMENT; CALIBRATION; NETWORK ANALYSIS; ORIENTATION; PHOTOGRAMMETRY; PRECISION; SENSOR;

EID: 84949057834     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.10.006     Document Type: Short Survey

References (35)

1. Barazzetti, L., 2011a. Automatic tie point extraction from markerless image blocks in close-range photogrammetry. Ph.D. thesis, Politecnico di Milano.
2. Barazzetti L., Mussio L., Remondino F., Scaioni M. Targetless camera calibration. Int. Arch. Photogramm., Rem. Sens. Spatial Inform. Sci., Trento 2011, 38(5):335-342. W16.
3. Beyer, H., 1987. Some aspects on the geometric calibration of CCD-cameras. In: Proc. ISPRS Intercommission Symposium on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, 2-4 June, pp. 68-81.
4. Brown D.C. Close-range camera calibration. Photogramm. Eng. 1971, 37(8):855-866.
5. El-Hakim S. Real-time image metrology with CCD cameras. Photogramm. Eng. Rem. Sens. 1986, 52(11):1757-1766.
6. Fraser C.S. Limiting error propagation in network design. Photogramm. Eng. Rem. Sens. 1987, 53(5):487-493.
7. Fraser C.S. Network design. Close-Range Photogrammetry and Machine Vision 1996, 256-282. Whittles Publishing, UK. Atkinson (Ed.).
8. Fraser C.S. Digital camera self-calibration. ISPRS Int. J. Photogramm. Rem. Sens. 1997, 52:149-159.
9. Fraser C.S. Automatic camera calibration in close-range photogrammetry. Photogramm. Eng. Rem. Sens. 2013, 79(4):381-388.
10. Fraser C.S., Brown D.C. Industrial photogrammetry - new developments and recent applications. Photogramm. Rec. 1986, 12(68):197-216.
11. Fryer J.G. Camera calibration. Close Range Photogrammetry and Machine Vision 1996, 156-179. Whittles Publishing, Caithness, UK. Atkinson (Ed.).
12. Hastedt, H., Luhmann, T., 2015. Investigations on the quality of the interior orientation and its impact in object space for UAV-photogrammetry. Int. Arch. Photogramm., Rem. Sens. Spatial Inform. Sci., vol. XL-1/W4, International Conference on Unmanned Aerial Vehicles in Geomatics, Toronto, Canada. doi:10.5194/isprsarchives-XL-1-W4-321-2015.
13. Hastedt, H., Luhmann, T., Raguse, K., 2005. Three-dimensional acquisition of high-dynamic processes with a single-camera system and stereo-beam splitting. In: Grün, A., Kahmen, H. (Eds.), Opt. 3-D Meas. Tech. VII, Vienna, vol. 2, pp. 175-184.
14. Kahlmann T., Remondino F., Ingensand H. Calibration for increased accuracy of the range imaging camera swissranger™. Int. Arch. Photogramm., Rem. Sens. Spatial Inform. Sci. 2006, 36(5):136-141.
15. Lenz, R.K., 1987. Lens distortion corrected CCD camera calibration with co-planar calibration points for real-time measurement. In: Proc. ISPRS Intercommission Symposium on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, pp. 60-67.
16. Li, W., Schulte, M., Bothe, T., von Kopylow, C., Köpp, N., Jüptner, W., 2007. Beam based calibration for optical imaging devices. IEEE Proceedings of 3DTV-CON, pp. 1-4.
17. Luber, A., 2015. Ein generisches Abbildungsmodell für Stereokamerasysteme: modellierung, Kalibrierung, Evaluierung und Anwendung. Doctoral Dissertation, Humboldt University, Berlin, p. 175.
18. Luhmann T., Hastedt H., Tecklenburg W. Modelling of chromatic aberration for high precision photogrammetry. Int. Arch. Photogramm., Rem. Sens. Spatial Inform. Sci. 2006, 36(5):173-178.
19. Luhmann T., Robson S., Kyle S., Boehm J. Close-Range Photogrammetry and 3D Imaging 2014, de Gruyter, p. 684.
20. Maas H.-G., Hampel U. Photogrammetric techniques in civil engineering material testing and structure monitoring. Photogramm. Eng. Rem. Sens. 2006, 72(1):39-45.
21. Putze, T., 2005. Geometric modelling and calibration of a virtual four-headed high speed camera-mirror system for 3-D motion analysis. In: Grün, A., Kahmen, H. (Eds.), Optical 3-D Measurement Techniques VII, vol. II, pp. 167-174.
22. Remondino F., Fraser C.S. Digital camera calibration methods: considerations and comparisons. Int. Arch. Photogramm. Rem. Sens. 2006, 36(5):266-272.
23. Remondino, F., Del Pizzo, S., Kersten, T., Troisi, S., 2012. Low-cost and open-source solutions for automated image orientation - a critical overview. Proc. EuroMed 2012 Conference, LNCS 7616, pp. 40-54.
24. Richter K., Mader D., Seidl K., Maas H.-G. Development of a geometric model for an all-reflective camera system. ISPRS J. Photogramm. Rem. Sens. 2013, 86:41-51.
25. Ruess D., Luber A., Manthey K., Reulke R. Accuracy evaluation of stereo camera systems with generic camera models. Int. Arch. Photogramm., Rem. Sens. Spatial Inform. Sci. 2012, 39(B5):375-380.
26. Schneider D., Schwalbe E., Maas H.-G. Validation of geometric models for fisheye lenses. ISPRS J. Photogramm. Rem. Sens. 2009, 64(3):259-266.
27. Schwalbe E., Maas H.-G., Kenter M., Wagner S. Hemispheric image modelling and analysis techniques for solar radiation determination in forest ecosystems. Photogramm. Eng. Rem. Sens. 2009, 75(4).
28. Stamatopoulos C., Fraser C.S. Automated target-free network orientation and camera calibration. ISPRS Ann. Photogramm., Rem. Sens. Spatial Inform. Sci. 2014, II-5:339-346.
29. Tecklenburg W., Luhmann T., Hastedt H. Camera modelling with image-variant parameters and finite elements. Optical 3-D Measurement Techniques V 2001, 328-335. Wichmann Verlag, Heidelberg. Gruen, Kahmen (Eds.).
30. Tsai, R.Y., 1986. An efficient and accurate camera calibration technique for 3-D machine vision. In: Proc. International Conference on Computer Vision and Pattern Recognition, Miami Beach, USA, pp. 364-374.
31. VDI/VDE 2634. Optical 3D Measuring Systems. VDI/VDE Guide Line, Part 1-3, Beuth, Berlin.
32. Wanner, S., Goldluecke, B., 2012. Globally consistent depth labelling of 4D light fields. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 41-48.
33. Wester-Ebbinghaus, W., 1988. Trends in non-topographic photogrammetry systems. In: Karara (Ed.), Non-Topographic Photogrammetry, second ed. American Society for Photogrammetry and Remote Sensing, pp. 377-387.
34. Westfeld P., Maas H.-G. Integrated 3D range camera self-calibration. Photogramm. - Fernerkundung - Geoinform. 2013, 6:589-602.
35. Zhang Z. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 2000, 22(11):1330-1334.