Name
Title | ||
|---|---|---|
Image processing with CNN in a FPGA-Based augmented reality system for visually impaired people |
Abstract | ||
|---|---|---|
A cellular neural network is proposed as the main processing core in a novel FPGA-based augmented reality system. The described application is focused on visually impaired people aid. The aim is to enhance the user's knowledge of the environment with useful information extracted by image processing. A CNN architecture oriented to hardware implementation on FPGA is presented, and used as the image processor in a fully FPGA-based system. So, CNNs and FPGAs are combined in a system which makes the most of their characteristics to achieve high performance and versatility. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11494669_111 | IWANN |
Keywords | Field | DocType |
fpga-based augmented reality system,cnn architecture,augmented reality system,cellular neural network,image processing,people aid,high performance,hardware implementation,fpga-based system,image processor,main processing core,augmented reality,information extraction | Telephone network,Information processing,Computer science,Image processing,Field-programmable gate array,Augmented reality,Image processor,Artificial intelligence,Computer hardware,Artificial neural network,Cellular neural network,Distributed computing | Conference |
Volume | ISSN | ISBN |
3512 | 0302-9743 | 3-540-26208-3 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Javier Toledo | 1 | 175 | 18.14 |
| J. Javier Martínez | 2 | 35 | 5.78 |
| F. Javier Garrigós | 3 | 18 | 4.15 |
| J. Ferrández | 4 | 12 | 3.15 |