New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging.
Jorg M. PortegiesGonzalo R. SanguinettiStephan P. L. MeestersRemco DuitsPublished in: SSVM (2015)
Keyphrases
- scale space
- gaussian kernel
- multiscale
- scale spaces
- gaussian scale space
- feature detection
- deep structure
- methods in computer vision
- diffusion equation
- scale invariant
- scale selection
- image analysis
- kernel function
- linear scale space
- scale space analysis
- primal sketch
- multiple scales
- image features
- multiscale representation
- critical points
- vector valued
- support vector
- image processing
- rotationally invariant
- heat equation
- linear scale space theory
- singular points
- zero crossing
- feature space
- image structure
- human brain
- planar curves
- automatic scale selection
- computer vision
- saddle points
- keypoints
- kernel methods
- feature detectors
- scale space theory
- scale parameter
- curvature flow
- gaussian derivatives
- machine learning