Name
Abstract | ||
|---|---|---|
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot of storage and processing requirements. In addition, it is challenging to extract relevant features from depth images in real time. Researchers have s... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2018.2797994 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Radio frequency,Neurons,Biological system modeling,Feature extraction,Visualization,Image edge detection | Edge extraction,Pattern recognition,Visualization,Computer science,Feature extraction,Redundancy (engineering),RGB color model,Artificial intelligence,Computer vision feature extraction,Spiking neural network,Artificial vision | Journal |
Volume | Issue | ISSN |
29 | 11 | 2162-237X |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dermot Kerr | 1 | 50 | 13.84 |
| Sonya Coleman | 2 | 216 | 36.84 |
| Thomas Martin McGinnity | 3 | 441 | 24.86 |