Abstract
This paper addresses the computation of motion between two views when 3D structure is unknown but planar surfaces can be assumed. We use points which are automatically matched in two steps. The first one is based on image parameters and the second one is based on the geometric constraint introduced by computed homographies. When two or more planes are observed, corresponding homographies can be computed and they can be used to obtain the fundamental matrix, which gives constraints for the whole scene. The computation of the camera motion can be carried out from a homography or from the fundamental matrix. Experimental results prove this approach to be robust and functional for real applications in man made environments.
This work was supported by project DPI2003-07986.
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References
Zhang, Z., Deriche, R., Faugeras, O., Luong, Q.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence 78, 87–119 (1995)
Pellejero, O., Sagüés, C., Guerrero, J.: Automatic computation of fundamental matrix from matched lines. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, J.-L. (eds.) CAEPIA/TTIA 2003. LNCS (LNAI), vol. 3040, pp. 197–206. Springer, Heidelberg (2004)
Luong, Q.T., Faugeras, O.: Determining the fundamental matrix with planes: Unstability and new algorithms. In: Proc. Conference on Computer Vision and Pattern Recognition, New-York, pp. 489–494 (1993)
Rother, C., Carlsson, S.: Linear multi view reconstruction and camera recovery using a reference plane. International Journal of Computer Vision 49 (2002)
Pritchett, P., Zisserman, A.: Wide baseline stereo matching. In: IEEE Conference on Computer Vision, pp. 754–760 (1998)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Harris, C., Stephens, M.: A combined corner and edge detector. The Plessey Company (1988)
Zhang, Z., Deriche, R., Faugeras, O., Luong, Q.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Rapport de recherche RR-2273, I.N.R.I.A., Sophia-Antipolis, France (1994)
Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM 24, 381–395 (1981)
Luong, Q., Faugeras, O.: The fundamental matrix: Theory, algorithms, and stability analysis. Int. Journal of Computer Vision 17, 43–76 (1996)
Zelnik-Manor, L., Irani, M.: Multiview constraints on homographies. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 214–223 (2002)
Weng, J., Huang, T., Ahuja, N.: Motion and Structure from Image Sequences. Springer, Heidelberg (1993)
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López-Nicolás, G., Sagüés, C., Guerrero, J.J. (2005). Automatic Matching and Motion Estimation from Two Views of a Multiplane Scene. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_9
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DOI: https://doi.org/10.1007/11492429_9
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