Name
Abstract | ||
|---|---|---|
•A new representation of faces for face recognition in videos is proposed.•The representation is based on Fisher vector encoding of BRIEF descriptors.•The introduced method is accurate and efficient.•Experiments were done in the YouTube Faces database and the Cox Face database. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jvcir.2018.01.017 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Fisher vector,Binary features,Face recognition,Video | Computer vision,Facial recognition system,Scale-invariant feature transform,Fisher vector,Pattern recognition,Artificial intelligence,Discriminative model,Mathematics,Binary number,Computation,Encoding (memory),Speedup | Journal |
Volume | ISSN | Citations |
51 | 1047-3203 | 1 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoanna Martínez-Díaz | 1 | 30 | 7.48 |
| Noslen Hernández | 2 | 7 | 4.57 |
| Rolando J. Biscay | 3 | 12 | 3.54 |
| Leonardo Chang | 4 | 42 | 11.15 |
| Heydi Méndez-Vázquez | 5 | 47 | 12.91 |
| L. Enrique Sucar | 6 | 1016 | 118.72 |