Ponencia
Gaussian Pyramid Extraction with a CMOS Vision Sensor
Autor/es | Suárez Cambre, Manuel
Brea Sánchez, Víctor Manuel Fernández Berni, Jorge Carmona Galán, Ricardo Cabello, D. Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2014 |
Fecha de depósito | 2018-05-30 |
Publicado en |
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ISBN/ISSN | 978-1-4799-6007-1 |
Resumen | This paper addresses a CMOS vision sensor with
176 × 120 pixels in standard 0.18 μm CMOS technology that
computes the Gaussian pyramid. The Gaussian pyramid is
extracted with a double-Euler switched-capacitor network, ... This paper addresses a CMOS vision sensor with 176 × 120 pixels in standard 0.18 μm CMOS technology that computes the Gaussian pyramid. The Gaussian pyramid is extracted with a double-Euler switched-capacitor network, giving RMSE errors below 1.2% of full-scale value. The chip provides a Gaussian pyramid of 3 octaves with 6 scales each with an energy cost of 26.5 nJ at 2.64 Mpx/s. |
Identificador del proyecto | ONR N000141410355
TEC2009-12686 TEC2012- 38921-C02 IPT-2011-1625-430000 IPC-20111009 TIC 2338-2013 EM2013 / 038 CN2012/151 GPC2013/040 |
Cita | Suárez Cambre, M., Brea Sánchez, V.M., Fernández Berni, J., Carmona Galán, R., Cabello, D. y Rodríguez Vázquez, Á.B. (2014). Gaussian Pyramid Extraction with a CMOS Vision Sensor. En 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA (1-2), University of Notre Dame, United States: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Gaussian Pyramid.pdf | 120.2Kb | [PDF] | Ver/ | |