Name
Abstract | ||
|---|---|---|
In this paper, a new approach which is called the common matrix approach is proposed for face recognition. The common matrix for each class can be calculated either using Gram-Schmidt orthogonalizatio n method or using scatter matrix of each class. In both ways, orthonormal matrices in the indifference subspace represent the directions that contain important discriminative information. The proposed approach overcomes the small sample size problem and the dimensionality problem in face recognition. The applications on AR-Face database give satisfactory results. |
Year | Venue | Keywords |
|---|---|---|
2005 | Antalya | databases,vectors,face recognition,face,principal component analysis |
Field | DocType | ISBN |
Facial recognition system,Subspace topology,Pattern recognition,Matrix (mathematics),Orthonormal basis,Artificial intelligence,Discriminative model,Orthogonalization,Scatter matrix,Principal component analysis,Mathematics | Conference | 978-160-4238-21-1 |
Citations | PageRank | References |
6 | 0.54 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| U. Cigdem Turhal | 1 | 6 | 0.54 |
| M. Bilginer Gülmezoğlu | 2 | 160 | 12.15 |
| Barkana, A. | 3 | 7 | 0.90 |