Face Recognition under Variant Illumination Using PCA and Wavelets.
Mong-Shu LeeMu-Yen ChenFu-Sen LinPublished in: SCIA (2009)
Keyphrases
- face recognition
- principal component analysis
- illumination conditions
- illumination variations
- face images
- pose variations
- feature extraction
- robust face recognition
- illumination invariant
- face recognition under varying
- varying illumination
- face representation
- illumination insensitive
- illumination compensation
- recognize faces
- illumination normalization
- gabor features
- linear discriminant analysis
- face databases
- principle component analysis
- human faces
- recognition rate
- wavelet transform
- local binary pattern
- discriminant analysis
- linear subspace
- multiresolution
- image compression
- recognizing faces
- method for face recognition
- face recognition algorithms
- orl face
- signal processing
- facial expressions
- probe image
- recognition accuracy
- lighting conditions
- computer vision
- face representation and recognition
- kernel pca
- face detection
- fisher linear discriminant
- sparse representation
- face recognition systems
- face verification
- image processing
- principal components
- gabor filters
- single image
- multiscale
- principal components analysis
- facial images
- subspace learning
- independent component analysis
- orl database
- linear dimensionality reduction
- low dimensional
- image representation
- orl face database
- feature analysis
- subspace analysis
- dual tree
- covariance matrix
- correlation filters