Why the alternative PCA provides better performance for face recognition.
I Gede Pasek Suta WijayaKeiichi UchimuraZhencheng HuPublished in: WIAMIS (2009)
Keyphrases
- face recognition
- principal component analysis
- face images
- linear discriminant analysis
- orl face
- face databases
- discriminant analysis
- method for face recognition
- recognizing faces
- recognition rate
- principle component analysis
- gabor features
- subspace methods
- recognition accuracy
- fisher linear discriminant
- feature extraction
- principal components analysis
- local binary pattern
- high dimensional
- kernel pca
- linear subspace
- principal components
- dimension reduction
- frontal face images
- human faces
- robust face recognition
- locality preserving projections
- facial expression recognition
- face representation and recognition
- low dimensional
- face space
- face recognition algorithms
- face detection
- face identification
- independent component analysis
- face verification
- sparse representation
- pattern recognition
- handwritten digits
- fisher criterion
- dimensionality reduction
- facial expressions
- face recognition grand challenge
- elastic bunch graph matching
- image processing