Motion Estimation Using the Differential Epipolar Equation

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Venue:
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Year:
2000

Citing 0
Cited 3

FOE estimation: Can image measurement errors be totally "corrected" by the geometric method?

Pattern Recognition
Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression

Pattern Recognition Letters
When Discrete Meets Differential

International Journal of Computer Vision

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Abstract

We consider the motion estimation problem in the case of very closely spaced views. We revisit the differential epipolar equation providing an interpretation of it. Based on this interpretation we introduce a cost function to estimate the parameters of the differential epipolar equation, which enables us to compute the camera extrinsics and some intrinsics. In the synthetic tests performed, we compare this continuous method with traditional discrete motion estimation and contrary to previous findings [6] cannot perceive any computational advantage for the continuous method.