Name
Abstract | ||
|---|---|---|
The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced using psychophysical and bioinspired properties according to biological vision in order to mimic the singularity and the performance of mammalians. Experimental results and the resources used to analyze the associate customizability of the system are discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/FPL.2009.5272369 | International Conference on Field Programmable and Logic Applications |
Keywords | Field | DocType |
fpga,optical filters,motion estimation,filter bank,computer architecture,field programmable gate arrays,coprocessors,computer vision,finite impulse response filter | Computer vision,Computer science,Filter bank,Optical filter,Singularity,Artificial intelligence,Motion estimation,Coprocessor,Finite impulse response,Steerable filter,Motion vector | Conference |
ISSN | Citations | PageRank |
1946-1488 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillermo Botella Juan | 1 | 23 | 4.49 |
| Antonio García Ríos | 2 | 0 | 0.68 |
| Uwe H. Meyer-Baese | 3 | 3 | 0.85 |
| Manuel Rodriguez | 4 | 79 | 8.07 |
| María C. Molina | 5 | 77 | 6.97 |
| Luís Parrilla Roure | 6 | 0 | 0.34 |