Reducing the feature vector length in local binary pattern based face recognition.
Olli LahdenojaMika LaihoAri PaasioPublished in: ICIP (2) (2005)
Keyphrases
- feature vectors
- face recognition
- face images
- fixed length
- feature extraction
- euclidean distance
- image features
- human faces
- similarity measure
- gabor filters
- linear discriminant analysis
- recognition rate
- face databases
- discriminant analysis
- feature space
- support vector machine
- facial expressions
- feature set
- face recognition systems
- sparse representation
- face recognition algorithms
- bit string
- data sets
- svm classifier
- robust face recognition
- facial features
- recognition accuracy
- facial images
- face identification
- computer vision
- orl face database
- support vector
- principal component analysis
- distance measure
- maximum number
- image classification
- low dimensional
- high dimensional data
- face detection
- texture features