Mostrar el registro sencillo del ítem

Ponencia

dc.creatorVillegas Pachón, C.es
dc.creatorCarmona Galán, Ricardoes
dc.creatorFernández Berni, Jorgees
dc.creatorRodríguez Vázquez, Ángel Benitoes
dc.date.accessioned2018-05-09T16:32:52Z
dc.date.available2018-05-09T16:32:52Z
dc.date.issued2016
dc.identifier.citationVillegas Pachón, C., Carmona Galán, R., Fernández Berni, J. y Rodríguez Vázquez, Á.B. (2016). Hardware-Aware Performance Evaluation for the Co-Design of Image Sensors and Vision Algorithms. En International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) (1-4), Lisboa, Portugal: Institute of Electrical and Electronics Engineers.
dc.identifier.urihttps://hdl.handle.net/11441/74379
dc.description.abstractThe top-down approach to system design allows obtaining separate specifications for each subsystem. In the case of vision systems, this means propagating system-level specifications down to particular specifications for e. g. the image sensor, the image processor, etc. This permits to adopt different design strategies for each one of them, as long as they meet their own specifications. This approach can lead to over-design, which is not always affordable. Conversely, if higher-level specifications are too tight, they can lead to impossible specifications at the lower levels. This is certainly the case for embedded vision systems in which high-performance needs to be paired with a very restricted power budget. In order to explore alternative architectures, we need tools that allow for simultaneous optimization of different blocks. However, the link between low-level non-idealities and high-level performance is missing. CAD tools for the design and verification of analog and mixed-signal integrated circuits are not well suited for the simulation of higher-level functionalities. Our approach is to extract relevant data from circuit-level simulation and to build an OpenCV model to be employed in the design of the algorithm. The utility of this approach is illustrated by the evaluation of the effect of column-wise and pixel-wise FPN at the sensor on the performance of Viola-Jones face detection.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofInternational Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) (2016), pp. 1-4.
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCMOS Image Sensorses
dc.subjectHW/SW co-designes
dc.subjectOpenCVes
dc.subjectEmbedded Vision Systemses
dc.titleHardware-Aware Performance Evaluation for the Co-Design of Image Sensors and Vision Algorithmses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Electrónica y Electromagnetismoes
idus.format.extent4 p.es
dc.publication.initialPage1es
dc.publication.endPage4es
dc.eventtitleInternational Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)es
dc.eventinstitutionLisboa, Portugales

FicherosTamañoFormatoVerDescripción
Hardware-Aware.pdf752.0KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
Excepto si se señala otra cosa, la licencia del ítem se describe como: Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América