An efficient, dense and long-range marker system for the guidance of the visually impaired
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Laboratorio de Investigación en Visión Móvil (MVRLab) | es_ES |
dc.contributor.author | Sáez Martínez, Juan Manuel | - |
dc.contributor.author | Lozano, Miguel Angel | - |
dc.contributor.author | Escolano, Francisco | - |
dc.contributor.author | Pita Lozano, Javier | - |
dc.contributor.other | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | es_ES |
dc.date.accessioned | 2020-09-09T18:02:23Z | - |
dc.date.available | 2020-09-09T18:02:23Z | - |
dc.date.issued | 2020-08-18 | - |
dc.identifier.citation | Machine Vision and Applications. 2020, 31:57. https://doi.org/10.1007/s00138-020-01097-y | es_ES |
dc.identifier.issn | 0932-8092 (Print) | - |
dc.identifier.issn | 1432-1769 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/109040 | - |
dc.description.abstract | In this paper, we address the problem of making a mobile/smartphone camera sensitive to distant fiducial markers. To this end, we carefully design a novel visual marker that is both dense and readable from large distances. The main novelty of the proposed marker is the combination of a quaternary color-based coding system with robust methods for reading the color patterns included in each frame once it is detected. These patterns include a CRC whose length grows linearly, whereas that of the message grows quadratically. Our experiments show that the proposed bundle marker-vision algorithm outperforms the alternatives in terms of distance and angle and also that it is very robust to changes in lighting conditions, thus making it a good intelligent system for guiding people with visual impairments in their day to day use of public transportation systems. | es_ES |
dc.description.sponsorship | This work is partially supported by the projects TIN2015-69077-P and RTI2018-096223-B-I00 of the Spanish Government and the grant INFO2016.08.ID+I.0019 from Instituto de Fomento de la Región de Murcia. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2020 | es_ES |
dc.subject | Computer vision | es_ES |
dc.subject | Mobile vision | es_ES |
dc.subject | Visual markers | es_ES |
dc.subject | Visually impaired | es_ES |
dc.subject.other | Ciencia de la Computación e Inteligencia Artificial | es_ES |
dc.title | An efficient, dense and long-range marker system for the guidance of the visually impaired | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1007/s00138-020-01097-y | - |
dc.relation.publisherversion | https://doi.org/10.1007/s00138-020-01097-y | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-69077-P | - |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096223-B-I00 | - |
Aparece en las colecciones: | INV - MVRLab - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Saez_etal_2020_MachineVisionApplicat_final.pdf | Versión final (acceso restringido) | 2,24 MB | Adobe PDF | Abrir Solicitar una copia |
Saez_etal_2020_MachineVisionApplicat_preprint.pdf | Preprint (acceso abierto) | 4,21 MB | Adobe PDF | Abrir Vista previa |
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