by Ohnishi, N, Kameda, Y, Imiya, A, Dorst, L and Klette, R
Abstract:
This paper introduces a new algorithm for computing multi-resolution optical flow, and compares this new hierarchical method with the traditional combination of the Lucas-Kanade method with a pyramid transform. The paper shows that the new method promises convergent optical flow computation. Aiming at accurate and stable computation of optical flow, the new method propagates results of computations from low resolution images to those of higher resolution. The resolution of images increases this way for the sequence of images used in those calculations. The given input sequence of images defines the maximum of possible resolution. © 2008 Springer-Verlag Berlin Heidelberg.
Reference:
Dynamic multiresolution optical flow computation (Ohnishi, N, Kameda, Y, Imiya, A, Dorst, L and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 4931 LNCS, 2008.
Bibtex Entry:
@inproceedings{ohnishi2008dynamiccomputation,
author = "Ohnishi, N and Kameda, Y and Imiya, A and Dorst, L and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--15",
title = "Dynamic multiresolution optical flow computation",
volume = "4931 LNCS",
year = "2008",
abstract = "This paper introduces a new algorithm for computing multi-resolution optical flow, and compares this new hierarchical method with the traditional combination of the Lucas-Kanade method with a pyramid transform. The paper shows that the new method promises convergent optical flow computation. Aiming at accurate and stable computation of optical flow, the new method propagates results of computations from low resolution images to those of higher resolution. The resolution of images increases this way for the sequence of images used in those calculations. The given input sequence of images defines the maximum of possible resolution. © 2008 Springer-Verlag Berlin Heidelberg.",
doi = "10.1007/978-3-540-78157-8_1",
isbn = "3540781560",
isbn = "9783540781561",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}