Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples.
Rui XuYen-Wei ChenPublished in: Neurocomputing (2009)
Keyphrases
- principal component analysis
- appearance model
- principal components
- visual tracking
- dimensionality reduction
- independent component analysis
- occlusion reasoning
- dimension reduction
- object tracking
- low dimensional
- particle filter
- face recognition
- feature extraction
- face images
- feature space
- active appearance models
- object appearance
- discriminant analysis
- generic model
- negative matrix factorization
- appearance modeling
- covariance matrix
- appearance information
- linear discriminant analysis
- tracking multiple
- face databases
- robust object tracking
- data sets
- three dimensional
- dimension reduction methods
- mean shift
- training set
- linear predictors
- kernel pca
- linear discriminate analysis