A Lie group approach to steerable filters.
Markus MichaelisGerald SommerPublished in: Pattern Recognit. Lett. (1995)
Keyphrases
- steerable filters
- lie group
- rotation invariant
- feature detection
- infinite dimensional
- parameter space
- euclidean space
- random forests
- vector space
- vector field
- grayscale images
- mean shift
- geometric structure
- riemannian manifolds
- linear transformation
- image structure
- covariance matrices
- gabor filters
- rigid motion
- data points
- pattern recognition
- image processing
- image enhancement
- finite dimensional