Fusing landmark-based features at kernel level for face recognition.
Ke-Kun HuangDao-Qing DaiChuan-Xian RenYu-Feng YuZhao-Rong LaiPublished in: Pattern Recognit. (2017)
Keyphrases
- face recognition
- feature space
- feature extraction
- higher level
- low level
- classification accuracy
- discriminant analysis
- feature set
- feature vectors
- feature level
- higher recognition rate
- dimensionality reduction
- co occurrence
- kernel methods
- facial expressions
- extracted features
- combining multiple
- abstraction levels
- gabor features
- kernel principal component analysis
- fisher linear discriminant