Name
Abstract | ||
|---|---|---|
Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to re- alise facial video recognition, rather than resorting to just still images. In fact, fa- cial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents the first known benchmarking effort of person identity verifi- cation using facial video data. The evaluation involves 19 systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01793-3_73 | International Conference on Biometrics |
Keywords | Field | DocType |
facial video recognition,facial video data,person identity verification,face video competition,mobile device,image recognition,identity document,benchmarking effort,person recognition,academic institute,facial feature,authentication,personal identity,database | Facial recognition system,Computer vision,Face hallucination,Authentication,Three-dimensional face recognition,Computer science,Face Recognition Grand Challenge,Mobile device,Artificial intelligence,Boosting (machine learning),Benchmarking | Conference |
Volume | ISSN | Citations |
5558 | 0302-9743 | 3 |
PageRank | References | Authors |
0.41 | 26 | 14 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norman Poh | 1 | 499 | 31.75 |
| Chi-ho Chan | 2 | 192 | 12.63 |
| J. Kittler | 3 | 14346 | 1465.03 |
| Sébastien Marcel | 4 | 1984 | 123.84 |
| Christopher Mc Cool | 5 | 22 | 1.05 |
| Enrique Argones-rúa | 6 | 38 | 6.69 |
| José Luis Alba-castro | 7 | 145 | 15.58 |
| Mauricio Villegas | 8 | 219 | 19.25 |
| Roberto Paredes | 9 | 248 | 15.66 |
| Vitomir Struc | 10 | 236 | 26.44 |
| Nikola Pavesic | 11 | 243 | 20.91 |
| Albert Ali Salah | 12 | 809 | 70.11 |
| Hui Fang | 13 | 3 | 0.75 |
| Nicholas Costen | 14 | 228 | 28.42 |