Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering.
Senjian AnWanquan LiuSvetha VenkateshPublished in: PCM (2007)
Keyphrases
- face images
- illumination variations
- pose variations
- principal component analysis
- feature points
- face recognition
- illumination compensation
- cmu pie
- face space
- illumination normalization
- human faces
- face representation
- facial appearance
- illumination conditions
- facial expressions
- face recognition systems
- linear subspace
- face databases
- automatic face
- feature extraction
- data points
- low resolution
- robust face recognition
- facial features
- feature vectors
- face recognition algorithms
- affinity propagation clustering
- illumination insensitive
- human face recognition
- lighting conditions
- probe image
- age estimation
- high resolution
- keypoints
- training set
- affinity propagation
- varying illumination
- high dimensional data
- image set
- face verification
- dimension reduction
- input image
- feature space
- low dimensional
- gender recognition
- dimensionality reduction
- appearance variations
- sparse representation
- partial occlusion
- computer vision
- low resolution face images
- single image