PCA without eigenvalue calculations: a case study on face recognition.
Effrosini KokiopoulouYousef SaadPublished in: SDM (2005)
Keyphrases
- face recognition
- principal component analysis
- face images
- covariance matrix
- linear discriminant analysis
- face databases
- orl face
- discriminant analysis
- recognition rate
- gabor features
- method for face recognition
- local binary pattern
- principle component analysis
- principal components
- feature extraction
- least squares
- face identification
- human faces
- recognizing faces
- case study
- computer vision
- face representation and recognition
- subspace methods
- recognition accuracy
- face detection
- independent component analysis
- dimension reduction
- face verification
- linear subspace
- scatter matrices
- face recognition algorithms
- linear dimensionality reduction
- fisher linear discriminant
- test bed
- dimensionality reduction
- low dimensional
- principal components analysis
- pose variations
- input image
- facial images
- orl face database
- elastic bunch graph matching
- sparse representation
- face recognition systems
- face space
- face representation
- high dimensional
- handwritten digits
- pattern recognition
- eigenvalue problems