Name
Abstract | ||
|---|---|---|
Unconstrained illumination and pose variation lead to significant variation in the photographs of faces and constitute a major hurdle preventing the widespread use of face recognition systems. The challenge is to generalize from a limited number of images of an individual to a broad range of conditions. Recently, advances in modeling the effects of illumination and pose have been accomplished usin... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/JPROC.2006.886019 | Proceedings of the IEEE |
Keywords | Field | DocType |
Face recognition,Lighting,Shape,Face detection,Videos,Predictive models,Biometrics,Cameras,Image recognition,Computer science | Iterative reconstruction,Computer vision,Facial recognition system,Image texture,Image processing,Artificial intelligence,Solid modeling,Invariant (mathematics),Biometrics,Mathematics,Generative model | Journal |
Volume | Issue | ISSN |
94 | 11 | 0018-9219 |
Citations | PageRank | References |
43 | 1.80 | 35 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sami Romdhani | 1 | 1167 | 79.84 |
| Jeffrey Ho | 2 | 43 | 1.80 |
| Thomas Vetter | 3 | 4528 | 529.79 |
| David Kriegman | 4 | 7693 | 451.96 |