Texture Classification Using Rao's Distance on the Space of Covariance Matrices.
Salem SaidLionel BombrunYannick BerthoumieuPublished in: GSI (2015)
Keyphrases
- covariance matrices
- distance measure
- covariance matrix
- vector space
- riemannian manifolds
- maximum likelihood
- gaussian mixture model
- euclidean distance
- intra class
- low dimensional
- gaussian distribution
- multivariate normal
- lie group
- distance function
- gaussian mixture
- linear classifiers
- geodesic distance
- principal component analysis
- feature vectors
- kullback leibler divergence
- feature space
- riemannian metric
- principal components
- clustering algorithm
- machine learning