The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties.
Chen SagivNir A. SochenYehoshua Y. ZeeviPublished in: J. Math. Imaging Vis. (2006)
Keyphrases
- scale space
- multiscale
- scale spaces
- gaussian scale space
- feature detection
- multiple scales
- scale selection
- scale invariant
- scale space analysis
- diffusion equation
- image structure
- linear scale space theory
- multiscale representation
- deep structure
- image features
- critical points
- image analysis
- planar curves
- methods in computer vision
- scale parameter
- gaussian kernel
- gaussian derivatives
- vector valued
- sufficient conditions
- singular points
- linear scale space
- rotationally invariant
- keypoints
- multiscale segmentation
- gaussian filter
- machine learning
- primal sketch
- edge detector
- remote sensing
- saddle points
- feature selection