On the Behavior of Spatial Critical Points under Gaussian Blurring. A Folklore Theorem and Scale-Space Constraints.
Marco LoogJohannes Jisse DuistermaatLuc FlorackPublished in: Scale-Space (2001)
Keyphrases
- critical points
- scale space
- gaussian scale space
- gaussian filter
- scale parameter
- gaussian kernel
- multiscale
- zero crossing
- scale spaces
- gaussian derivatives
- gaussian smoothing
- linear scale space
- saddle points
- rotationally invariant
- feature detection
- deep structure
- image structure
- scale invariant
- image analysis
- image features
- linear scale space theory
- vector field
- edge detector
- scale selection
- heat equation
- vector valued
- constrained optimization
- diffusion equation
- endpoints
- feature points
- image restoration
- feature selection
- global constraints