Name
Abstract | ||
|---|---|---|
A testbed for automatic face recognition shows an eigenface coding of shape-free texture, with manually coded landmarks, was more effective than correctly shaped faces, being dependent upon high-quality representation of the facial variation by a shape-free ensemble. Configuration also allowed recognition, these measures combine to improve performance and allowed automatic measurement of the face-shape. Caricaturing further increased performance. Correlation of contours of shapefree images also increased recognition, suggesting extra information was available. A natural model considers faces as in a manifold, linearly approximated by the two factors, with a separate system for local features. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1007/BFb0015561 | ECCV |
Keywords | Field | DocType |
automatic face recognition,face recognition | Facial recognition system,Computer vision,Active shape model,Eigenface,3D single-object recognition,Intelligent character recognition,Three-dimensional face recognition,Computer science,Face Recognition Grand Challenge,Artificial intelligence,Face detection | Conference |
ISBN | Citations | PageRank |
3-540-61122-3 | 15 | 3.22 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas Costen | 1 | 228 | 28.42 |
| Ian Craw | 2 | 325 | 254.64 |
| Graham Robertson | 3 | 15 | 3.22 |
| Shigeru Akamatsu | 4 | 1623 | 138.71 |