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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal.inria.fr/hal-00739089
Contributor : Nathalie Gaudechoux <>
Submitted on : Friday, November 15, 2013 - 2:44:29 PM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM
Long-term archiving on : Sunday, February 16, 2014 - 2:25:17 AM

File

Herlin-all-PDMU-2012.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00739089, version 1

Citation

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⟩

Share

Metrics

Record views

386

Files downloads

161