Pose independent object classification from small number of training samples based on kernel principal component analysis of local parts.
Kazuhiro HottaPublished in: Image Vis. Comput. (2009)
Keyphrases
- small number of training samples
- object classification
- kernel principal component analysis
- face recognition
- object recognition
- kernel pca
- feature extraction
- discriminant analysis
- preprocessing
- object detection
- kernel function
- principal components
- relevance feedback
- feature space
- high dimensional
- principal component analysis
- kernel methods
- chamfer distance
- kernel matrix
- object categories
- classification method
- linear discriminant analysis
- input space