Abstract
Using only shadow trajectories of stationary objects in a scene, we demonstrate that using a set of six or more photographs are sufficient to accurately calibrate the camera. Moreover, we present a novel application where, using only three points from the shadow trajectory of the objects, one can accurately determine the geo-location of the camera, up to a longitude ambiguity, and also the date of image acquisition without using any GPS or other special instruments. We refer to this as “geo-temporal localization”. We consider possible cases where ambiguities can be removed if additional information is available. Our method does not require any knowledge of the date or the time when the pictures are taken, and geo-temporal information is recovered directly from the images. We demonstrate the accuracy of our technique for both steps of calibration and geo-temporal localization using synthetic and real data.
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References
Herbert, A.: Sundials Old and New. Methuen & Co. Ltd. (1967)
III, F.W.S.: A three-point sundial construction. Bulletin of the British Sundial Society 94, 22–29 (1994)
Waugh, A.: Sundials: Their Theory and Construction. Dover Publications, Inc. (1973) ISBN 0-486-22947-5
Bouguet, J., Perona, P.: 3D photography on your desk. In: Proc. ICCV, pp. 43–50 (1998)
Caspi, Y., Werman, M.: Vertical parallax from moving shadows. In: Proc. CVPR, pp. 2309–2315 (2006)
Antone, M., Bosse, M.: Calibration of outdoor cameras from cast shadows. In: Proc. IEEE Int. Conf. Systems, Man and Cybernetics, pp. 3040–3045 (2004)
Cao, X., Shah, M.: Camera calibration and light source estimation from images with shadows. In: Proc. IEEE CVPR, pp. 918–923 (2005)
Cao, X., Foroosh, H.: Camera calibration and light source orientation from solar shadows. Journal of Computer Vision and Image Understanding (CVIU) 105, 60–72 (2006)
Lu, F., Shen, Y., Cao, X., Foroosh, H.: Camera calibration from two shadow trajectories. In: Proc. ICPR, pp. 1–4 (2005)
Heikkila, J.: Geometric camera calibration using circular control points. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1066–1077 (2000)
Hartley, R.I.: Self-calibration of stationary cameras. Int. J. Comput. Vision 22, 5–23 (1997)
Heyden, A., Astrom, K.: Euclidean reconstruction from image sequences with varying and unknown focal length and principal point. In: Proc. IEEE CVPR, pp. 438–443 (1997)
Pollefeys, M., Koch, R., Gool, L.V.: Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. Int. J. Comput. Vision 32, 7–25 (1999)
Liebowitz, D., Zisserman, A.: Combining scene and auto-calibration constraints. In: Proc. IEEE ICCV, pp. 293–300 (1999)
Triggs, B.: Autocalibration from planar scenes. In: Proc. ECCV, pp. 89–105 (1998)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330–1334 (2000)
Jacobs, N., Satkin, S., Roman, N., Speyer, R., Pless, R.: Geolocating static cameras. In: Proc. of ICCV, pp. 469–476 (2007)
Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 25, 564–575 (2003)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)
Junejo, I., Foroosh, H.: Dissecting the image of the absolute conic. In: 5th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) (2006)
Gronbeck, C.: Sunangle software, www.susdesign.com/sunangle/
Semple, J.G., Kneebone, G.T.: Algebraic Projective Geometry. Oxford Classic Texts in the Physical Sciences (1979)
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Junejo, I.N., Foroosh, H. (2008). Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories. In: Forsyth, D., Torr, P., Zisserman, A. (eds) Computer Vision – ECCV 2008. ECCV 2008. Lecture Notes in Computer Science, vol 5302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88682-2_25
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DOI: https://doi.org/10.1007/978-3-540-88682-2_25
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