Face recognition using local geometrical features - PCA with Euclidean classifier
The goal of this research is to get the minimum features and produce better recognition rates. Before doing the feature selection, we investigate automatic methods for detecting face anchor points with 412 3D-facial points of 60 individuals. There are 7 images per subject including views presenting...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/69617/1/Face%20recognition%20using%20local%20geometrical%20features%20-%20PCA%20with%20Euclidean%20classifier.pdf http://psasir.upm.edu.my/id/eprint/69617/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Age prediction on face features via multiple classifiers
by: Mohamad, F.S., et al.
Published: (2018)
by: Mohamad, F.S., et al.
Published: (2018)