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A Numerical Model for Large Deformation on Meteorological Images

Abstract : The purpose of non-rigid motion in computer vision is the study of the geometrical deformation that may affect an object during its temporal evolution. One often assumes that this process is local and continuous; it is therefore the case for local geometrical features, which are considered as relevant for studying deformation. This assumption is no more valid when the structure is widely distorted between two successive temporal occurrences, and information about the underlying physical phenomenon is then required to analyze motion. In this paper, we propose a geometrical model of evolution that may be viewed as an approximation of the true physical deformation: we are reconstructing the surface generated by the evolution of the boundary of the structure. We present a stable numerical implementation of this model and apply it to the tracking of a vortex on a sequence of meteorological images. Fulltext Preview
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https://hal.inria.fr/inria-00532686
Contributor : Brigitte Briot <>
Submitted on : Thursday, November 4, 2010 - 1:38:49 PM
Last modification on : Wednesday, May 19, 2021 - 10:04:01 AM

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Jean-Paul Berroir, Isabelle Herlin, Isaac Cohen. A Numerical Model for Large Deformation on Meteorological Images. International Conference on Analysis and Optimisation of Systems, Images, Wavelets and PDE's (ICAOS), Jun 1996, Paris, France. pp.92-99, ⟨10.1007/3-540-76076-8_121⟩. ⟨inria-00532686⟩

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