Rotation Invariant Householder Parameterization for Bayesian PCA.
Rajbir-Singh NirwanNils BertschingerPublished in: ICML (2019)
Keyphrases
- rotation invariant
- principal component analysis
- rotation invariance
- gabor wavelets
- texture analysis
- feature extraction
- feature vectors
- face recognition
- dimensionality reduction
- local binary pattern
- zernike moments
- dominant orientation
- texture image retrieval
- texture classification
- scale invariance
- steerable filters
- texture features
- gabor filters
- shape context
- texture images
- maximum likelihood
- thinning algorithm
- kernel pca
- scale and rotation invariant
- feature space
- steerable pyramid
- face images
- facial expressions
- image features
- support vector machine
- high dimensional