A Comparison of PCA and ICA for Object Recognition Under Varying Illumination.
Jeff FortunaDerek C. SchuurmanDavid W. CapsonPublished in: ICPR (3) (2002)
Keyphrases
- varying illumination
- face recognition
- object recognition
- independent component analysis
- principal component analysis
- illumination invariant
- face images
- linear subspace
- computer vision
- feature extraction
- lighting conditions
- illumination conditions
- human faces
- face databases
- image features
- high dimensional
- viewpoint
- local binary pattern
- signal processing
- facial expressions
- object detection
- natural images
- low dimensional
- object class
- gabor features
- dimensionality reduction