Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/11277
Title: TV-L1 optical flow estimation
Authors: Sánchez, Javier 
Meinhardt-Llopis, Enric
Facciolo, Gabriele
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Optical flow
Total variation
Issue Date: 2012
Journal: Image Processing On Line 
Abstract: This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof. This method is based on the minimization of a functional containing a data term using the L norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.
URI: http://hdl.handle.net/10553/11277
ISSN: 2105-1232
DOI: 10.5201/ipol.2013.26
Source: Image Processing On Line [ISSN 2105-1232], p. 1-13
Rights: by-nc-nd
Appears in Collections:Artículos
Thumbnail
Adobe PDF (9,08 MB)
Thumbnail
pdf
Adobe PDF (8,39 MB)
Show full item record

WEB OF SCIENCETM
Citations

240
checked on Nov 24, 2024

Page view(s)

202
checked on Nov 1, 2024

Download(s)

372
checked on Nov 1, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.