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A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers
In this paper, we propose a methodology to solve the stereo matching problem through quantum annealing optimization. Our proposal takes advantage of the existing Min-Cut/Max-Flow network formulation of computer vision problems. Based on this network formulation, we construct a quadratic pseudo-Boole...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512348/ https://www.ncbi.nlm.nih.gov/pubmed/33265874 http://dx.doi.org/10.3390/e20100786 |
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author | Cruz-Santos, William Venegas-Andraca, Salvador E. Lanzagorta, Marco |
author_facet | Cruz-Santos, William Venegas-Andraca, Salvador E. Lanzagorta, Marco |
author_sort | Cruz-Santos, William |
collection | PubMed |
description | In this paper, we propose a methodology to solve the stereo matching problem through quantum annealing optimization. Our proposal takes advantage of the existing Min-Cut/Max-Flow network formulation of computer vision problems. Based on this network formulation, we construct a quadratic pseudo-Boolean function and then optimize it through the use of the D-Wave quantum annealing technology. Experimental validation using two kinds of stereo pair of images, random dot stereograms and gray-scale, shows that our methodology is effective. |
format | Online Article Text |
id | pubmed-7512348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75123482020-11-09 A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers Cruz-Santos, William Venegas-Andraca, Salvador E. Lanzagorta, Marco Entropy (Basel) Article In this paper, we propose a methodology to solve the stereo matching problem through quantum annealing optimization. Our proposal takes advantage of the existing Min-Cut/Max-Flow network formulation of computer vision problems. Based on this network formulation, we construct a quadratic pseudo-Boolean function and then optimize it through the use of the D-Wave quantum annealing technology. Experimental validation using two kinds of stereo pair of images, random dot stereograms and gray-scale, shows that our methodology is effective. MDPI 2018-10-12 /pmc/articles/PMC7512348/ /pubmed/33265874 http://dx.doi.org/10.3390/e20100786 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cruz-Santos, William Venegas-Andraca, Salvador E. Lanzagorta, Marco A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title | A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title_full | A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title_fullStr | A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title_full_unstemmed | A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title_short | A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers |
title_sort | qubo formulation of the stereo matching problem for d-wave quantum annealers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512348/ https://www.ncbi.nlm.nih.gov/pubmed/33265874 http://dx.doi.org/10.3390/e20100786 |
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