Abstract
A standard approach to generate a camera pose from images of a single moving camera is Structure From Motion (SfM). When aiming on a practical implementation of SfM often a camera is needed that is lightweight and small. This work analyses which is the best camera and lens for SfM, that is small in size and available on the market. Therefore we compare cameras with fisheye and perspective lenses. It is shown that pose estimation is improved by a fisheye lens. Also some methods are discussed, how the large Field of View can be further exploited to improve the pose estimation.
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References
Chang, P., Hebert, M.: Omni-directional structure from motion. In: IEEE Workshop on Omnidirectional Vision 2000, pp. 153–160 (2000)
Davison, A.J., González Cid, Y., Kita, N.: Real-time 3D SLAM with wide-angle vision. In: Proc. IFAC Symp. on Intelligent Autonomous Vehicles, Lisbon (July 2004)
Fermüller, C., Aloimonos, Y., Brodsky, T.: New eyes for building models from video. Computational Geom.: Theory and Applications 15, 3–23 (2000)
Fleck, M.: Perspective projection: the wrong imaging model. Technical Report 95-01, Comp. Sci., U. Iowa (1995)
Geyer, C., Daniilidis, K.: Catadioptric projective geometry. Journal of Computer Vision 43, 223–243 (2001)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Neumann, J., Fermüller, C., Aloimonos, Y.: Eyes from eyes: New cameras for structure from motion. In: IEEE Workshop on Omnidir. Vision, pp. 19–26 (2002)
Shi, J., Tomasi, C.: Good features to track. In: Conference on Computer Vision and Pattern Recognition, Seattle, pp. 593–600. IEEE, Los Alamitos (1994)
Svoboda, T., Pajdla, T., Hlaváč, V.: Epipolar geometry for panoramic cameras. In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, p. 218. Springer, Heidelberg (1998)
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Streckel, B., Koch, R. (2005). Lens Model Selection for Visual Tracking. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds) Pattern Recognition. DAGM 2005. Lecture Notes in Computer Science, vol 3663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550518_6
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DOI: https://doi.org/10.1007/11550518_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28703-2
Online ISBN: 978-3-540-31942-9
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