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Conference Papers Year : 2012

Minimax optical flow estimation from a sequence of 2D images

Abstract

Apparent motion estimation, from an image sequence, is one crucial issue for the Image Processing community in a wide range of applicative domains. When dealing with environmental applications, it allows to study the tracking of clouds on satellite meteorological data and the surface circulation on ocean acquisitions. During the last twenty years, many authors investigated the issue of fluid flow motion estimation, see for instance [4] for a detailed survey.
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Dates and versions

hal-00739089 , version 1 (15-11-2013)

Identifiers

  • HAL Id : hal-00739089 , version 1

Cite

Isabelle Herlin, Olexander Nakonechnyi, Sergiy Zhuk. Minimax optical flow estimation from a sequence of 2D images. XX International Conference on Problems of Decision Making under Uncertainties (PDMU), Sep 2012, Brno, Czech Republic. ⟨hal-00739089⟩
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