Kernel quaternion principal component analysis and its application in RGB-D object recognition.
Beijing ChenJianhao YangByeungwoo JeonXinpeng ZhangPublished in: Neurocomputing (2017)
Keyphrases
- principal component analysis
- feature space
- kernel pca
- principal components
- kernel principal component analysis
- dimensionality reduction
- independent component analysis
- linear discriminant analysis
- kernel function
- view independent
- object recognition
- kernel methods
- d objects
- color images
- colour space
- gray scale
- color space
- covariance matrix
- discriminant analysis
- fourier transform
- dimension reduction
- input space
- feature extraction
- support vector
- kernel regression
- color information
- component analysis
- kernel machines
- neural classifier
- face recognition
- face images
- input image
- multiresolution
- similarity function
- random projections
- low dimensional
- reproducing kernel hilbert space
- image classification
- viewpoint
- multiscale
- computer vision
- rgb color