Name
Abstract | ||
|---|---|---|
This paper describes the design of a reconfigurable architecture for implementing image processing algorithms. This architecture is a pipeline of small identical processing elements that contain a programmable logic device (FPGA) and double port memories. This processing system has been adapted to accelerate the computation of differential algorithms. The log-polar vision selectively reduces the amount of data to be processed and simplifies several vision algorithms, making possible their implementation using few hard-ware resources. The reconfigurable architecture design has been devoted to implementation, and has been employed in an autonomous platform, which has power consumption, size and weight restrictions. Two different vision algorithms have been implemented in the reconfigurable pipeline, for which some experimental results are shown. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/s00138-002-0078-x | Mach. Vis. Appl. |
Keywords | Field | DocType |
differential al- gorithms,processing system,log-polar vision,reconfigurable architecture,autonomous visual-navigation,reconfigurable architecture design,autonomous platform,small identical processing element,visual navigation,image processing algorithm,reconfigurable architectures,autonomous systems,reconfigurable pipeline,different vision algorithm,vision algorithm,image processing,programmable logic device | Computer vision,Architecture,Computer science,Visual navigation,Field-programmable gate array,Artificial intelligence,Autonomous system (Internet),Digital image processing,Computation,Power consumption,Programmable logic device | Journal |
Volume | Issue | ISSN |
13 | 5-6 | 0932-8092 |
Citations | PageRank | References |
2 | 0.40 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Antonio Boluda | 1 | 11 | 1.97 |
| F. Pardo | 2 | 82 | 11.00 |