Name
Title | ||
|---|---|---|
Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets |
Abstract | ||
|---|---|---|
To address the problem of face recognition with image sets, we aim to capture the underlying data distribution in each set and thus facilitate more robust classification. To this end, we represent image set as the Gaussian mixture model (GMM) comprising a number of Gaussian components with prior probabilities and seek to discriminate Gaussian components from different classes. Since in the light o... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2017.2746993 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Manifolds,Kernel,Measurement,Gaussian distribution,Face recognition,Face,Computational modeling | Information geometry,Pattern recognition,Computer science,Riemannian manifold,Kernel Fisher discriminant analysis,Gaussian,Artificial intelligence,Linear discriminant analysis,Riemannian geometry,Gaussian function,Mixture model | Conference |
Volume | Issue | ISSN |
27 | 1 | 1057-7149 |
Citations | PageRank | References |
15 | 0.52 | 46 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Wang | 1 | 22 | 3.82 |
| Ruiping Wang | 2 | 894 | 41.60 |
| Zhiwu Huang | 3 | 252 | 15.26 |
| Shiguang Shan | 4 | 6322 | 283.75 |
| Xilin Chen | 5 | 6291 | 306.27 |