Name
Abstract | ||
|---|---|---|
This paper describes the design of a computational vision framework inspired by the cortices of the brain. The proposed framework carries out visual saliency and provides pathways through which object segmentation, learning and recognition skills can be learned and acquired through experience. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-40379-3_5 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Human visual system,Bioinspired computing,Computational model,Vision model | Computer vision,Computational vision,Segmentation,Human visual system model,Computer science,Artificial intelligence,Visual saliency | Conference |
Volume | ISSN | Citations |
9716 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Camilleri | 1 | 7 | 1.49 |
| Luke Boorman | 2 | 20 | 4.27 |
| Uriel Martinez-Hernandez | 3 | 140 | 18.23 |
| andreas damianou | 4 | 151 | 17.68 |
| Tony J. Prescott | 5 | 164 | 28.77 |