Name
Title | ||
|---|---|---|
Light Field-Based Face Presentation Attack Detection: Reviewing, Benchmarking and One Step Further. |
Abstract | ||
|---|---|---|
Vulnerability of face recognition systems to presentation attacks has attracted increasing attention from the biometrics and forensics communities. Moreover, the recent availability of light field cameras is opening new possibilities for designing improved face presentation attack detection solutions. In this context, this paper provides the first review and benchmarking study in the literature on... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIFS.2018.2799427 | IEEE Transactions on Information Forensics and Security |
Keywords | DocType | Volume |
Face,Cameras,Face recognition,Sensors | Journal | 13 |
Issue | ISSN | Citations |
7 | 1556-6013 | 4 |
PageRank | References | Authors |
0.39 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alireza Sepas-Moghaddam | 1 | 123 | 12.15 |
| Fernando Pereira | 2 | 17717 | 2124.79 |
| Paulo Lobato Correia | 3 | 281 | 31.59 |