Making FLDA applicable to face recognition with one sample per person.
Songcan ChenJun LiuZhi-Hua ZhouPublished in: Pattern Recognit. (2004)
Keyphrases
- face recognition
- single training sample
- linear discriminant analysis
- face images
- recognition rate
- robust face recognition
- person re identification
- discriminant analysis
- principal component analysis
- sample size
- feature representation
- fisher linear discriminant analysis
- similarity measure
- discriminant embedding
- thermal infrared
- elastic bunch graph matching
- daily activities
- recognition accuracy
- data samples
- latent dirichlet allocation
- local binary pattern
- facial images
- machine learning
- probabilistic model
- training data
- feature extraction
- computer vision