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dc.contributor.authorNavarro, Felipe
dc.contributor.authorCancino, Sandra
dc.contributor.authorEstupiñán, Enrique
dc.date.accessioned2021-10-20T17:15:40Z
dc.date.available2021-10-20T17:15:40Z
dc.date.issued2014
dc.identifier.isbn9781479925070
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/1750
dc.description.abstractThis paper presents the development of an application to estimate depth using mobile devices that could help visually impaired people to navigate in everyday sites. The mobile device incorporates a stereo camera system and the application takes advantage of the operating system capabilities, such as parallel computation, hardware configuration, in conjunction with the image processing libraries to implement well known and fast performing algorithms for depth estimation. Each camera is calibrated separately and afterwards a stereo calibration is performed. Depth estimation is calculated using two different algorithms and an evaluation of their performance is presented. The mobile devices handle the computational load fast enough to be able to produce the results within the walk time at normal pace. Depth estimation error is low enough to allow object detection like obstacles, room walls or moving persons.eng
dc.description.abstractEste trabajo presenta el desarrollo de una aplicación para estimar la profundidad utilizando dispositivos móviles que podría ayudar a las personas con discapacidad visual a navegar en sitios cotidianos. El dispositivo móvil incorpora un sistema de cámaras estéreo y la aplicación aprovecha las capacidades del sistema operativo, como el cálculo paralelo, la configuración del hardware, junto con las librerías de procesamiento de imágenes para implementar algoritmos bien conocidos y de rápido rendimiento para la estimación de la profundidad. Cada cámara se calibra por separado y después se realiza una calibración estereoscópica. La estimación de la profundidad se calcula utilizando dos algoritmos diferentes y se presenta una evaluación de su rendimiento. Los dispositivos móviles manejan la carga computacional lo suficientemente rápido como para poder producir los resultados dentro del tiempo de paseo a ritmo normal. El error de estimación de la profundidad es lo suficientemente bajo como para permitir la detección de objetos como obstáculos, paredes de la habitación o personas en movimiento.spa
dc.format.extent4 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherIEEE Xplorespa
dc.sourcehttps://ieeexplore.ieee.org/abstract/document/6820289spa
dc.titleDepth estimation for visually impaired people using mobile deviceseng
dc.typeCapítulo - Parte de Librospa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupEcitronicaspa
dc.identifier.doi10.1109/LASCAS.2014.6820289
dc.publisher.placeNueva Jersey, Estados Unidos.spa
dc.relation.citationeditionDepth estimation for visually impaired people using mobile devices, 2014 IEEE 5th Latin American Symposium on Circuits and Systems, 2014, pp. 1-4spa
dc.relation.citationendpage4spa
dc.relation.citationstartpage1spa
dc.relation.indexedN/Aspa
dc.relation.ispartofbook2014 IEEE 5th Latin American Symposium on Circuits and Systemseng
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dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.subject.armarcComputación móvilspa
dc.subject.armarcMobile computingeng
dc.subject.armarcComputación sensible al contextospa
dc.subject.armarcContext-aware computingeng
dc.subject.armarcAccesibilidad de sitios web para personas con discapacidadesspa
dc.subject.armarcAccessible Web sites for people with disabilitieseng
dc.type.coarhttp://purl.org/coar/resource_type/c_3248spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/bookPartspa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


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