A real-time mammalian retina model implementation on FPGA

被引：0

作者：

Nagy, Zoltan ^{[1
]}

Voroshazi, Zsolt ^{[1
]}

Szolgay, Peter ^{[1
,2
]}

机构：

[1] Univ Pannonia, Dept Image Proc & Neurocomp, Egyetem 10, H-8200 Veszprem, Hungary

[2] Comp & Automat Inst HAS, Analog & Neural Comp Lab, H-1111 Budapest, Hungary

来源：

PROCEEDINGS OF THE 2006 10TH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS | 2006年

关键词：

CNN-UM; FPGA; retina model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an extended emulated digital retina model to compute two different retina channels in video real-time. The proposed emulated digital implementation of the two-channel retina model is discussed in three different points of view: processing speed, number of physical cells and accuracy. A real-time test environment with camera input and display output is going to be set up to analyze the retina model implementation on emulated digital CNN model by using a 6M gate equivalent FPGA (Field Programmable Gate Array).

引用

页码：16 / 16

页数：1