Repositorio de producción científica de la Universidad de Sevilla

Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction

Opened Access Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction

Citas

buscar en

Estadísticas
Icon
Exportar a
Autor: Suárez, Manuel
Brea, Víctor M.
Fernández Berni, Jorge
Carmona Galán, Ricardo
Cabello, D.
Rodríguez Vázquez, Ángel Benito
Departamento: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Fecha: 2017
Publicado en: IEEE Journal of Solid State Circuits, 52 (2), 483-495.
Tipo de documento: Artículo
Resumen: This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian pyramid extraction. The Gaussian pyramid provides computer vision algorithms with scale invariance, which permits having the same response regardless of the distance of the scene to the camera. The chip comprises 176×120 photosensors arranged into 88×60 processing elements (PEs). The Gaussian pyramid is generated with a double-Euler switched capacitor (SC) network. Every PE comprises four photodiodes, one 8 b single-slope analog-to-digital converter, one correlated double sampling circuit, and four state capacitors with their corresponding switches to implement the double-Euler SC network. Every PE occupies 44×44 μm2 . Measurements from the chip are presented to assess the accuracy of the generated Gaussian pyramid for visual tracking applications. Error levels are below 2% full-scale output, thus making the chip feasible for these applications. Also, energy cost is 26.5 nJ/px at 2.64 Mp...
[Ver más]
Cita: Suárez, M., Brea, V.M., Fernández Berni, J., Carmona Galán, R., Cabello, D. y Rodríguez Vázquez, Á.B. (2017). Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction. IEEE Journal of Solid State Circuits, 52 (2), 483-495.
Tamaño: 2.746Mb
Formato: PDF

URI: https://hdl.handle.net/11441/73757

DOI: 10.1109/JSSC.2016.2610580

Ver versión del editor

Mostrar el registro completo del ítem


Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América

Este registro aparece en las siguientes colecciones