Scale-space compression and its application using spectral theory.
Gou KoutakiKeiichi UchimuraPublished in: ICIP (2013)
Keyphrases
- scale space
- multiscale
- scale spaces
- gaussian scale space
- image features
- feature detection
- gaussian kernel
- image structure
- scale selection
- scale space analysis
- primal sketch
- deep structure
- rotationally invariant
- planar curves
- multiple scales
- scale invariant
- keypoints
- critical points
- edge detector
- multiscale segmentation
- methods in computer vision
- diffusion equation
- saddle points
- multiscale representation
- automatic scale selection
- image analysis
- heat equation
- linear scale space
- gaussian derivatives
- general theory
- vector valued
- image compression
- scale parameter
- mathematical theory
- singular points
- curvature flow
- linear scale space theory