DocumentCode :
3165391
Title :
A systolic neural network image processing architecture
Author :
Cavaiuolo, Mario ; Yakovleff, Andre J S ; Watson, Charles R. ; Kershaw, James A.
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
fYear :
1992
fDate :
4-8 May 1992
Firstpage :
695
Lastpage :
700
Abstract :
The architecture introduced, the neural accelerator board (NAB) system, has been designed to perform a range a machine vision functions, of which one is motion parallax range estimation. The approach used in the NAB system, is to perform real-time calculations on the image data, captured by a moving video camera, using a highly parallel neural network architecture. The NAB system architecture, its physical implementation, and the surrounding application system are described. The implementation of the motion parallax algorithm, as a demonstration of the capabilities of this architecture, is outlined.<>
Keywords :
computer vision; image processing; neural nets; optical information processing; systolic arrays; machine vision; motion parallax range estimation; neural accelerator board; real-time calculations; systolic neural network image processing architecture; Australia; Computer architecture; Hardware; Image processing; Information technology; Limiting; Motion analysis; Motion estimation; Neural networks; Systolic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CompEuro '92 . 'Computer Systems and Software Engineering',Proceedings.
Conference_Location :
The Hague, Netherlands
Print_ISBN :
0-8186-2760-3
Type :
conf
DOI :
10.1109/CMPEUR.1992.218450
Filename :
218450
Link To Document :
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