A Motion Computation and Interpretation Framework for Oceanographic Satellite Images

Abstract : We present a motion computation and interpretation framework for oceanographic satellite images. This framework is based on the use of a non quadratic regularization technique in optical flow computation which preserves flow discontinuities. We also show that using an appropriate tessellation of the image according to an estimate of the motion field can improve optical flow accuracy and yields more reliable flows. A new formulation for the approximation of an oriented flow field is described. This allows us to consider an arbitrary polynomial phase portrait model for characterizing flow salient features. This new framework is used for processing oceanographic image sequences and presents an alternative to the very complex physical modelling techniques for ocean surface circulation computation.
Type de document :
Communication dans un congrès
International Symposium on Computer Vision, Nov 1995, Coral Gables, Florida, United States. pp.13-18, 1995, 〈10.1109/ISCV.1995.476970〉
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https://hal.inria.fr/inria-00532678
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:38:02
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Isaac Cohen, Isabelle Herlin. A Motion Computation and Interpretation Framework for Oceanographic Satellite Images. International Symposium on Computer Vision, Nov 1995, Coral Gables, Florida, United States. pp.13-18, 1995, 〈10.1109/ISCV.1995.476970〉. 〈inria-00532678〉

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