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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© 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
eBook Packages: Computer ScienceComputer Science (R0)