Abstract
A novel approach is presented in order to reject correspondence outliers between frames using the parallax-based rigidity constraint for epipolar geometry estimation. In this approach, the invariance of 3-D relative projective structure of a stationary scene over different views is exploited to eliminate outliers, mostly due to independently moving objects of a typical scene. The proposed approach is compared against a well-known RANSAC-based algorithm by the help of a test-bed. The results showed that the speed-up, gained by utilization of the proposed technique as a preprocessing step before RANSAC-based approach, decreases the execution time of the overall outlier rejection, significantly.
This research has been partially funded by EC IST 3DTV NoE.
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References
Adam, A., Rivlin, E., Shimshoni, I.: Ror: Rejection of outliers by rotations. IEEE Trans. PAMI (January 2001)
Chum, O., Matas, J., Kittler, J.V.: Locally optimized RANSAC. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 236–243. Springer, Heidelberg (2003)
Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24(6) (1981)
Goshen, L., Shimshoni, I.: Guided sampling via weak motion models and outlier sample generation for epipolar geometry estimation. In: Proceedings of the CVPR (2005)
Harris, C., Stephens, M.A.: Combined corner and edge detector. In: Proc. 4th Alvey Vision Conference, pp. 147–151 (1988)
Hartley, R.I.: In defense of the eight-point algorithm. IEEE Transactions on PAMI 19(6) (June 1997)
Hartley, R.I., Sturm, P.: Triangulation. IEEE Trans. on PAMI (1998)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)
Irani, M., Anandan, P.: A unified approach to moving object detection in 2d and 3d scenes. IEEE Trans. on PAMI (June 1998)
Matas, J., Chum, O.: Randomized ransac with td,d test. In: British Machine Vision Conference (September 2002)
Tekalp, M.: Digital Video Processing. Prentice-Hall, Englewood Cliffs (1995)
Tola, E.: Multiview 3d reconstruction of a scene containing independently moving objects. Master’s thesis, METU (August 2005)
Zhang, Z., Deriche, R., Faugeras, O., Luong, Q.T.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Technical Report 2273, INRIA (1994)
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© 2006 Springer-Verlag Berlin Heidelberg
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Tola, E., Alatan, A.A. (2006). Fast Outlier Rejection by Using Parallax-Based Rigidity Constraint for Epipolar Geometry Estimation. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_76
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DOI: https://doi.org/10.1007/11848035_76
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