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Abstract: Many differential methods for the recovery of the optic flow field from an image sequence can be expressed in terms of a variational problem where the optic flow minimizes some energy. Typically, these energy functionals consist of two terms: a data term, which requires e.g. that a brightness constancy assumption holds, and a regularizer that encourages global or piecewise smoothness of the flow field. In this paper we present a systematic classification of rotation invariant convex... (Update)
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BibTeX entry: (Update)
Weickert J. and Schnorr C., A theoretical framework for convex regularizers in PDE-based computation of image motion, Tech. Rep. 13/2000, Computer Science Series, University of Mannheim, Germany, June 2000, to appear in International Journal of Computer Vision. http://citeseer.ist.psu.edu/weickert00theoretical.html More
@misc{ weickert00theoretical,
author = "J. Weickert and C. Schnorr",
title = "A theoretical framework for convex regularizers in PDE-based computation
of image motion",
text = "Weickert J. and Schnorr C., A theoretical framework for convex regularizers
in PDE-based computation of image motion, Tech. Rep. 13/2000, Computer Science
Series, University of Mannheim, Germany, June 2000, to appear in International
Journal of Computer Vision.",
year = "2000",
url = "citeseer.ist.psu.edu/weickert00theoretical.html" }
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