Title : 
Gaussian pyramid extraction with a CMOS vision sensor
         
        
            Author : 
Suarez, M. ; Brea, V.M. ; Fernandez-Berni, J. ; Carmona-Galan, R. ; Cabello, D. ; Rodriguez-Vazquez, Angel
         
        
            Author_Institution : 
Centro de Investig. en Tecnoloxias da Informacion, Univ. of Santiago de Compostela, Santiago de Compostela, Spain
         
        
        
        
        
        
            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.
         
        
            Keywords : 
CMOS image sensors; Gaussian processes; image processing; mean square error methods; switched capacitor networks; CMOS vision sensor; Gaussian pyramid extraction; RMSE errors; double-Euler switched-capacitor network; energy cost; full-scale value; image pixels; Arrays; CMOS integrated circuits; CMOS technology; Capacitors; Computer vision; Feature extraction; Switched capacitor networks;
         
        
        
        
            Conference_Titel : 
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
         
        
            Conference_Location : 
Notre Dame, IN
         
        
        
            DOI : 
10.1109/CNNA.2014.6888606