Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets
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 pro...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 1 vom: 30. Jan., Seite 151-163
|
|---|
| 1. Verfasser: |
Wang, Wen
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Wang, Ruiping,
Huang, Zhiwu,
Shan, Shiguang,
Chen, Xilin |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2018
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article
Computational modeling
Face
Face recognition
Gaussian distribution
Kernel
Manifolds
Measurement |
|---|