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Simultaneous optical flow and source estimation: Space–time discretization and preconditioning
We consider the simultaneous estimation of an optical flow field and an illumination source term in a movie sequence. The particular optical flow equation is obtained by assuming that the image intensity is a conserved quantity up to possible sources and sinks which represent varying illumination. W...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
North-Holland
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567080/ https://www.ncbi.nlm.nih.gov/pubmed/26435561 http://dx.doi.org/10.1016/j.apnum.2015.04.007 |
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author | Andreev, R. Scherzer, O. Zulehner, W. |
author_facet | Andreev, R. Scherzer, O. Zulehner, W. |
author_sort | Andreev, R. |
collection | PubMed |
description | We consider the simultaneous estimation of an optical flow field and an illumination source term in a movie sequence. The particular optical flow equation is obtained by assuming that the image intensity is a conserved quantity up to possible sources and sinks which represent varying illumination. We formulate this problem as an energy minimization problem and propose a space–time simultaneous discretization for the optimality system in saddle-point form. We investigate a preconditioning strategy that renders the discrete system well-conditioned uniformly in the discretization resolution. Numerical experiments complement the theory. |
format | Online Article Text |
id | pubmed-4567080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | North-Holland |
record_format | MEDLINE/PubMed |
spelling | pubmed-45670802015-10-01 Simultaneous optical flow and source estimation: Space–time discretization and preconditioning Andreev, R. Scherzer, O. Zulehner, W. Appl Numer Math Article We consider the simultaneous estimation of an optical flow field and an illumination source term in a movie sequence. The particular optical flow equation is obtained by assuming that the image intensity is a conserved quantity up to possible sources and sinks which represent varying illumination. We formulate this problem as an energy minimization problem and propose a space–time simultaneous discretization for the optimality system in saddle-point form. We investigate a preconditioning strategy that renders the discrete system well-conditioned uniformly in the discretization resolution. Numerical experiments complement the theory. North-Holland 2015-10 /pmc/articles/PMC4567080/ /pubmed/26435561 http://dx.doi.org/10.1016/j.apnum.2015.04.007 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Andreev, R. Scherzer, O. Zulehner, W. Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title | Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title_full | Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title_fullStr | Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title_full_unstemmed | Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title_short | Simultaneous optical flow and source estimation: Space–time discretization and preconditioning |
title_sort | simultaneous optical flow and source estimation: space–time discretization and preconditioning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567080/ https://www.ncbi.nlm.nih.gov/pubmed/26435561 http://dx.doi.org/10.1016/j.apnum.2015.04.007 |
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