Performance evaluation of linear subspace methods for face recognition under illumination variation.
Ajay JaiswalRamesh K. AgrawalNitin KumarPublished in: C3S2E (2011)
Keyphrases
- face recognition
- subspace methods
- illumination variations
- face images
- linear subspace
- face databases
- linear discriminant analysis
- illumination conditions
- principal component analysis
- face recognition systems
- sparse representation
- recognition rate
- human faces
- face recognition algorithms
- face detection
- recognition accuracy
- illumination normalization
- facial images
- facial expressions
- feature extraction
- object tracking
- subspace learning
- data sets
- detection algorithm
- single image
- knn
- three dimensional