A theoretical framework for convex regularizers in PDE-based computation of image motion


Weickert, Joachim ; Schnörr, Christoph


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URL: https://ub-madoc.bib.uni-mannheim.de/1841
URN: urn:nbn:de:bsz:180-madoc-18412
Document Type: Working paper
Year of publication: 2000
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Mathematik und Informatik
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Classification: MSC: 68U99 68U10 68T45 ,
Subject headings (SWD): Bildfolge , Diffusion , Anisotrope Diffusion
Keywords (English): optic flow , differential methods , regularization , diffusion filtering , well-posedness
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 reqires 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 regularizers by exploring their connection to diffusion filters for multichannel images. This taxonomy provides a unifying framework for data-driven and flow-driven, isotropic and anisotropic, as well as spatial and spatio-temporal regularizers. While some of these techniques are classic methods from the literature, others are derived here for the first time. We prove that all these methods are well-posed: they posses a unique solution that depends in a continuous way on the initial data. An interesting structural relation between isotropic and anisotropic flow-driven regularizers is identified, and a design criterion is proposed for constructing anisotropic flow-driven regularizers in a simple and direct way from isotropic ones. Its use is illustrated by several examples.
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Weickert, Joachim ; Schnörr, Christoph (2000) A theoretical framework for convex regularizers in PDE-based computation of image motion. Open Access [Working paper]
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