Title :
Synthesis of a recurrent double-layer transistor network for early-vision tasks
Author :
Barbaro, Massimo ; Nazzaro, Antonio ; Raffo, Luigi
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Abstract :
In this paper we present a double-layer transistor network, useful for early-vision embedded systems, able to convolve a sensorial input with a Gabor kernel. The network, whose main advantages are low power consumption, compactness of physical implementation and full programmability of the convolution kernel, has been simulated and successfully compared with theoretical expectations
Keywords :
MOS analogue integrated circuits; VLSI; analogue processing circuits; computer vision; convolution; image processing equipment; neural chips; real-time systems; recurrent neural nets; Gabor kernel; convolution kernel; early-vision embedded systems; early-vision tasks; low power consumption; programmability; recurrent double-layer transistor network; sensorial input convolution; Circuit simulation; Convolution; Embedded system; Feature extraction; Kernel; Navigation; Network synthesis; Power system modeling; Senior citizens; Surveillance;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.703983
