dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Conde, Cristina | es |
dc.creator | Cabello, Enrique | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2019-12-26T10:51:02Z | |
dc.date.available | 2019-12-26T10:51:02Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Domínguez Morales, M.J., Jiménez Fernández, Á.F., Jiménez Moreno, G., Conde, C., Cabello, E. y Linares Barranco, A. (2019). Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors. IEEE Access, 7, 138415-138425. | |
dc.identifier.issn | 2169-3536 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91255 | |
dc.description.abstract | Many advances have been made in the eld of computer vision. Several recent research trends
have focused on mimicking human vision by using a stereo vision system. In multi-camera systems, a
calibration process is usually implemented to improve the results accuracy. However, these systems generate
a large amount of data to be processed; therefore, a powerful computer is required and, in many cases,
this cannot be done in real time. Neuromorphic Engineering attempts to create bio-inspired systems that
mimic the information processing that takes place in the human brain. This information is encoded using
pulses (or spikes) and the generated systems are much simpler (in computational operations and resources),
which allows them to perform similar tasks with much lower power consumption, thus these processes
can be developed over specialized hardware with real-time processing. In this work, a bio-inspired stereovision
system is presented, where a calibration mechanism for this system is implemented and evaluated
using several tests. The result is a novel calibration technique for a neuromorphic stereo vision system,
implemented over specialized hardware (FPGA - Field-Programmable Gate Array), which allows obtaining
reduced latencies on hardware implementation for stand-alone systems, and working in real time. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2016-77785-P | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2016-80644-P | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Access, 7, 138415-138425. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Neuromorphic engineering | es |
dc.subject | Dynamic vision sensors | es |
dc.subject | Bio-inspired systems | es |
dc.subject | Stereo vision | es |
dc.subject | Calibration | es |
dc.title | Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | TEC2016-77785-P | es |
dc.relation.projectID | TIN2016-80644-P | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/8846702 | es |
dc.identifier.doi | 10.1109/ACCESS.2019.2943160 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 11 | es |
dc.journaltitle | IEEE Access | es |
dc.publication.volumen | 7 | es |
dc.publication.initialPage | 138415 | es |
dc.publication.endPage | 138425 | es |