Abstract
For the non-invasive imaging of moving organs, in this paper, we develop statistically accurate methods for the computation of optical flow. We formalise the linear flow field detection as a model-fitting problem which is solved by the least squares method. Then, we show random-ssampling-and-voting method for the computation of optical flow as model-fitting problem. We show some numerical examples which shows the performance of our method.
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Song, S.M., Leathy, R.M.: Computation of 3-D verocity fields from 3-D cine CT images of a human heart. IEEE, Tr. Medical Imaging 10, 285–306 (1991)
Spies, H., Jahne, B., Barron, J.: Range Flow Estimation. Computer Vision and Image Understanding 85, 209–231 (2002)
Kälviäinen, H., Oja, E., Xu, L.: Randomized Hough transform applied to translation and rotation motion analysis. In: 11th IAPR Proceedings of International Conference on Pattern Recognition, pp. 672–675 (1992)
Heikkonen, J.: Recovering 3-D motion parameters from optical flow field using randomized Hough transform. Pattern Recognition Letters 15, 971–978 (1995)
Oja, E., Xu, L., Kultanen, P.: Curve detection by an extended self-organization map and related RHT method. In: Proc. International Neural Network Conference, vol. 1, pp. 27–30 (1990)
Mount, D.M., Netanyahu, N.S.: Efficient randomized algorithms for robust estimation of circular arcs and aligned ellipses. Computational Geometry:Theory and Applications 19, 1–33 (2001)
Cole, R., Salowe, J.S., Steiger, W.L., Szemeréd, E.: An optimal-time algorithm for slope selection. SIAM J. Computing 18, 792–810 (1989)
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© 2006 Springer-Verlag Berlin Heidelberg
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Imiya, A., Yamada, D. (2006). Voting Method for Stable Range Optical Flow Computation. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_33
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DOI: https://doi.org/10.1007/11949534_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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