A local spectral feature based face recognition approach for the one-sample-per-person problem.
Zhan-Li SunLi ShangPublished in: Neurocomputing (2016)
Keyphrases
- face recognition
- single training sample
- face images
- person re identification
- discriminant analysis
- recognition rate
- recognition accuracy
- image features
- principal component analysis
- sparse representation
- human faces
- face recognition systems
- local binary pattern
- linear discriminant analysis
- face detection
- feature extraction
- spectral features
- face recognition algorithms
- data sets
- spectral analysis
- pose variations
- face databases
- image analysis
- video sequences