Illumination Variation in Images in Independent Component Analysis and Principal Component Analysis Subspaces.
Zhen ZhengYan-Xin ZhangPublished in: ISDA (2) (2006)
Keyphrases
- independent component analysis
- principal component analysis
- illumination variations
- independent components
- face images
- principal components
- face recognition
- illumination conditions
- lighting conditions
- principle component analysis
- covariance matrix
- face databases
- factor analysis
- signal processing
- image analysis
- image features
- blind source separation
- dimensionality reduction
- linear discriminant analysis
- image classification
- low dimensional
- image registration
- image retrieval
- lower dimensional
- image matching
- input image
- feature points
- pixel level
- object tracking
- human faces
- object recognition
- multiple images
- data sets
- machine learning
- negative matrix factorization
- affine distortion
- partial occlusion
- sparse representation
- high dimensional data
- segmentation algorithm
- natural images
- high dimensional
- similarity measure
- feature extraction
- image sequences
- image segmentation