Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition.
Chia-Ping ChenChu-Song ChenPublished in: ICCV (2005)
Keyphrases
- illumination normalization
- face recognition
- intrinsic images
- illumination conditions
- linear subspace
- robust face recognition
- lighting conditions
- subspace learning
- human faces
- principal component analysis
- histogram matching
- single image
- face images
- illumination variations
- varying illumination
- subspace methods
- pose variations
- lambertian surface
- viewing conditions
- illumination invariant
- local binary pattern
- locality preserving projections
- probe image
- feature extraction
- subspace analysis
- illumination invariant face recognition
- real scenes
- discriminant analysis
- face recognition systems
- linear discriminant analysis
- low dimensional
- recognition rate
- ar face database
- viewpoint
- face detection
- face databases
- face recognition under varying
- illumination insensitive
- illumination compensation
- light source
- feature vectors
- sparse coding
- recognize faces
- face representation
- point light source
- global illumination
- subspace clustering
- dimensionality reduction
- correlation filters
- cast shadows
- high dimensional
- high dimensional data
- video sequences
- partial occlusion
- lighting variations
- computer vision
- realistic rendering
- facial expressions