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Gaussian Pyramid Extraction with a CMOS Vision Sensor

 

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Opened Access Gaussian Pyramid Extraction with a CMOS Vision Sensor
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Author: Suárez Cambre, Manuel
Brea Sánchez, Víctor Manuel
Fernández Berni, Jorge
Carmona Galán, Ricardo
Cabello, D.
Rodríguez Vázquez, Ángel Benito
Department: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Date: 2014
Published in: 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA (2014), p 1-2
ISBN/ISSN: 978-1-4799-6007-1
Document type: Presentation
Abstract: 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.
Cite: 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.
Size: 120.2Kb
Format: PDF

URI: https://hdl.handle.net/11441/75447

DOI: 10.1109/CNNA.2014.6888606

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