Laplacian Eigenimages in Discrete Scale Space.
Martin TschirsichArjan KuijperPublished in: SSPR/SPR (2012)
Keyphrases
- scale space
- zero crossing
- multiscale
- scale spaces
- vector valued
- laplacian operator
- gaussian scale space
- linear scale space theory
- feature detection
- edge detector
- diffusion equation
- multiple scales
- scale invariant
- deep structure
- keypoints
- scale space analysis
- critical points
- gaussian kernel
- image analysis
- image structure
- primal sketch
- multiscale representation
- planar curves
- gaussian derivatives
- scale selection
- scale parameter
- image features
- edge detection
- rotationally invariant
- differential operators
- scale space theory
- curvature flow
- saddle points
- heat kernel
- automatic scale selection
- geodesic metric
- morphological scale space
- methods in computer vision
- singular points
- discrete version
- neural network
- denoising
- input image
- similarity measure
- image processing
- computer vision