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Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction

 

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Opened Access Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction
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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: 2017
Published in: IEEE Journal of Solid State Circuits, 52 (2), 483-495.
Document type: Article
Abstract: 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 ...
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Cite: Suárez Cambre, M., Brea Sánchez, 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.
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URI: https://hdl.handle.net/11441/73757

DOI: 10.1109/JSSC.2016.2610580

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