Steerable PCA for Rotation-Invariant Image Recognition.
Cédric VoneschFrédéric StauberMichael UnserPublished in: SIAM J. Imaging Sci. (2015)
Keyphrases
- image recognition
- rotation invariant
- face recognition
- principal component analysis
- local binary pattern
- rotation invariance
- gabor wavelets
- feature extraction
- texture classification
- feature vectors
- scale invariance
- texture analysis
- image classification
- dimensionality reduction
- pattern recognition
- zernike moments
- texture features
- texture image retrieval
- linear discriminant analysis
- face images
- gabor filters
- image retrieval
- thinning algorithm
- kernel pca
- shape context
- face detection
- feature space
- multiscale
- computer vision
- scale and rotation invariant
- neural network
- gray level
- video sequences
- image processing