Name
Abstract | ||
|---|---|---|
We derive a machine-based face recognition system theoretically which is similar to many practical ones and show its behaviour has features of the human system. We reproduce the caricature effect, show that human and machine-based similarity and distinctiveness are connected and confirm machine based predictions of typicality with human data. Finally we draw lessons for machine-based recognition. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/AFGR.1996.557236 | FG |
Keywords | Field | DocType |
machine-based similarity,human system,psychological consistency,computer face recognition,human data,manifold caricatures,machine-based recognition,machine-based face recognition system,manifolds,information processing,image recognition,distinctiveness,machine vision,shape,feature extraction,psychology,face recognition,face detection | Facial recognition system,Three-dimensional face recognition,Pattern recognition,Computer science,Artificial intelligence,Manifold,Optimal distinctiveness theory | Conference |
ISBN | Citations | PageRank |
0-8186-7713-9 | 10 | 6.59 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas Costen | 1 | 228 | 28.42 |
| Takashi Kato | 2 | 10 | 6.59 |
| and Shigeru Akamatsu | 3 | 10 | 6.59 |
| Ian Craw | 4 | 325 | 254.64 |
| Graham Robertson | 5 | 10 | 6.59 |