Introduction
With the emerging of mobile surveying technology such as UAV and mobile mapping system, the data collection for GIS is becoming more affordable. The sensors that commonly installed on platforms are cameras. In order to obtain accurate geometric information such as positions, heights, or areas of 3D object from images, the geometric camera calibration is very important.
The geometric camera calibration is a fundamental procedure in photogrammetry and computer vision. Particularly, the goal of geometric camera calibration is to estimate the geometric characteristic of a camera, i.e., the interior orientation which is the metric characteristics of the camera, e.g., focal length, lens distortion, or parameters of a camera model, and the exterior orientation which is the location and attitude of the camera in the object coordinate system. With camera calibration, one can determine how the incoming rays of light are mapped onto image, which is also known as forward projection....
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References
Bakstein T, Pajdla T (2002) Panoramic mosaicing with a 180 deg; field of view lens. In: Third workshop on omnidirectional vision, 2002 proceedings, Copenhagen, pp 60–67
Brown DC (1966) Decentering distortion of lenses. Photogramm Eng 32(3):444–462
Fraser CS (2001) Photogrammetric camera component calibration: a review of analytical techniques. In: Gruen A, Huang T (eds) Calibration and orientation of cameras in computer vision. Springer series in information sciences, vol 34. Springer, Berlin/Heidelberg, pp 95–121
Gennery DB (2006) Generalized camera calibration including fish-eye lenses. Int J Comput Vis 68(3):239–266. doi:10.1007/s11263-006-5168-1
Gruen A, Huang TS (eds)(2001) Calibration and orientation of cameras in computer vision. Springer, New York/Secaucus
Kannala J, Brandt SS (2006) A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses. IEEE Trans Pattern Anal Mach Intell 28(8):1335–1340
McGlone JC, Mikhail EM, Bethel JS, Mullen R (2004) Manual of photogrammetry. American Society for Photogrammetry and Remote Sensing, Bethesda
Remondino F, Fraser C (2006) Digital camera calibration methods: considerations and comparisons. In: ISPRS (ed) International archives of photogrammetry, remote sensing and spatial information sciences, Dresden, Germany, vol XXXVI, pp 266–272
Srestasathiern P, Soontranon N (2014) A novel camera calibration method for fish-eye lenses using line features. In: ISPRS (ed) International archives of the photogrammetry, remote sensing and spatial information sciences, 40(3), pp 327–332
Sturm P, Ramalingam S, Tardif JP, Gasparini S, Barreto J (2011) Camera models and fundamental concepts used in geometric computer vision. Found Trends Comput Graph Vis 6(1–2):1–183
Triggs B, McLauchlan PF, Hartley RI, Fitzgibbon AW (2000) Bundle adjustment a modern synthesis. In: Vision algorithms: theory and practice, Springer in London. vol 1883,z pp 298–372
Wolf PR, DeWitt BA (2000) Elements of photogrammetry (with applications in GIS), 3rd edn. McGraw-Hill Higher Education, Boston
Zhang Z (1996) On the epipolar geometry between two images with lens distortion. In: Proceedings of the 13th international conference on pattern recognition 1996, Vienna, vol 1, pp 407–411
Zhengyou Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330–1334
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Srestasathiern, P. (2015). Geometric Camera Calibration in Support of GIS. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1619-1
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DOI: https://doi.org/10.1007/978-3-319-23519-6_1619-1
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