Combining Gradientfaces, principal component analysis, and Fisher linear discriminant for face recognition.
Chih-Jen LeeTzu-Yin ChenJenn-Dong SunTai-Ning YangAllen Y. ChangPublished in: NCM (2010)
Keyphrases
- fisher linear discriminant
- principal component analysis
- face recognition
- face recognition under varying
- frontal face images
- fisher classifier
- fisher criterion
- discriminant analysis
- dimensionality reduction
- low dimensional
- face images
- independent component analysis
- principal components
- feature extraction
- recognition rate
- facial images
- dimension reduction
- linear discriminant analysis
- singular value decomposition
- local binary pattern
- face databases
- lower dimensional
- human faces
- recognition accuracy
- subspace learning
- varying illumination
- object detection
- data sets