A lie group theoretic approach to the invariance problem in feature extraction and object recognition.
James B. ColeHiroshi MuraseSeiichiro NaitoPublished in: Pattern Recognit. Lett. (1991)
Keyphrases
- lie group
- object recognition
- feature extraction
- lie algebra
- infinite dimensional
- computer vision
- parameter space
- vector field
- euclidean space
- linear transformation
- geometric structure
- image processing
- vector space
- image features
- feature vectors
- mean shift
- d objects
- invariant features
- covariance matrices
- feature selection
- manifold learning
- dimension reduction
- image classification
- face recognition
- feature matching
- image matching
- dimensionality reduction
- texture features
- rigid motion
- finite dimensional
- search space
- tensor field
- feature space