Name
Abstract | ||
|---|---|---|
•We propose a modality invariant feature descriptor for heterogeneous face recognition.•We discussed the possible variants of the descriptor based on different parameters.•Experiments are conducted to compare with the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2019.03.028 | Pattern Recognition Letters |
Keywords | Field | DocType |
41A05,41A10,65D05,65D17 | ENCODE,Computer vision,Facial recognition system,Feature descriptor,Feature vector,Pattern recognition,Concatenation,Artificial intelligence,Pixel,Mathematics,Resultant force | Journal |
Volume | ISSN | Citations |
125 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shubhobrata Bhattacharya | 1 | 2 | 1.71 |
| Gowtham Sandeep Nainala | 2 | 1 | 0.35 |
| Suparna Rooj | 3 | 1 | 1.70 |
| Aurobinda Routray | 4 | 337 | 52.80 |