DocumentCode
394490
Title
Linear and regularized solutions for multiple motions
Author
Stuke, Lngo ; Aach, Til ; Mota, Cicero ; Barth, Erhardt
Author_Institution
Inst. for Signal Process., Univ. of Lubeck, Germany
Volume
3
fYear
2003
fDate
6-10 April 2003
Abstract
We extend a novel framework for the estimation of multiple transparent motions to include regularization. We use mixed-motion parameters to obtain linear Euler-Lagrange equations with a regularization term. The equations are solved iteratively for the mixed-motion parameters based on an update rule that is similar to the case of only one motion. The motion parameters are then obtained as the roots of a complex polynomial of a degree that is equal to the number of overlaid motions. An experimental error analysis is performed and reported.
Keywords
error analysis; iterative methods; motion estimation; polynomials; Euler-Lagrange equations; complex polynomial roots; computer-vision; experimental error analysis; iterative solution; mixed-motion parameters; motion estimation; multiple motions; Calculus; Computer aided software engineering; Filters; Frequency estimation; Image sequences; Laplace equations; Motion analysis; Motion estimation; Polynomials; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1199131
Filename
1199131
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