Combining Different Types of Scale Space Interest Points Using Canonical Sets.
Frans KantersTrip DentonAli ShokoufandehLuc FlorackBart M. ter Haar RomenyPublished in: SSVM (2007)
Keyphrases
- scale space
- multiscale
- scale spaces
- feature detection
- scale selection
- gaussian scale space
- deep structure
- image analysis
- image features
- multiple scales
- image structure
- methods in computer vision
- gaussian kernel
- multiscale representation
- scale space analysis
- scale invariant
- critical points
- diffusion equation
- scale parameter
- edge detector
- planar curves
- vector valued
- rotationally invariant
- singular points
- saddle points
- primal sketch
- heat equation
- linear scale space
- gaussian derivatives
- nonlinear diffusion
- keypoints
- similarity measure
- natural images
- edge detection
- multiscale segmentation
- automatic scale selection