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Proceedings Paper

Motion field computation with a continuation algorithm
Author(s): Frederic Bouchara; Jacques Richou
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Paper Abstract

THe problem of dense motion field estimation usually comes down to the minimization of a non-convex energy function. This minimization is achieved thanks to multigrid methods or more often using the first order approximation of the structural model. In this paper we propose a different approach based on the estimation of the image properties which lead to a convex hamiltonian. These properties are used to define a continuation algorithm: approximations of original images are computed using these conditions and used for the first stage of our continuation algorithm. The modeled images are then gradually transformed back to the original ones while the process evolves. This method is tested on synthetic sequences and its results are compared with those of other methods.

Paper Details

Date Published: 19 August 1997
PDF: 8 pages
Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281285
Show Author Affiliations
Frederic Bouchara, Univ. de Toulon et du Var (France)
Jacques Richou, Univ. de Toulon et du Var (France)


Published in SPIE Proceedings Vol. 3101:
New Image Processing Techniques and Applications: Algorithms, Methods, and Components II
Philippe Refregier; Rolf-Juergen Ahlers, Editor(s)

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