A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition.
Sheng LiXiao-Yuan JingDavid ZhangYong-Fang YaoLu-Sha BianPublished in: ICIP (2011)
Keyphrases
- feature extraction
- face recognition
- discriminant analysis
- principal component analysis
- subspace analysis
- feature vectors
- face images
- appearance based face recognition
- training samples
- virtual reality
- data sets
- probabilistic model
- pattern classification
- local binary pattern
- multiple kernel learning
- gabor wavelets
- kernel discriminant analysis
- fisher discriminant