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Fast Outlier Rejection by Using Parallax-Based Rigidity Constraint for Epipolar Geometry Estimation

  • Conference paper
Multimedia Content Representation, Classification and Security (MRCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4105))

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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© 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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39392-4

  • Online ISBN: 978-3-540-39393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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