A scale-adaptive extension to methods based on LBP using scale-normalized Laplacian of Gaussian extrema in scale-space.
Sebastian HegenbartAndreas UhlPublished in: ICASSP (2014)
Keyphrases
- scale space
- zero crossing
- multiscale
- scale parameter
- scale spaces
- scale selection
- scale invariant
- gaussian smoothing
- image features
- gaussian scale space
- gaussian kernel
- feature detection
- multiple scales
- gaussian derivatives
- methods in computer vision
- linear scale space
- scale invariance
- scale space filtering
- image structure
- image analysis
- rotationally invariant
- gaussian filter
- automatic scale selection
- edge detector
- morphological scale space
- scale space analysis
- multiscale representation
- vector valued
- pattern recognition
- deep structure
- scale space theory
- single scale
- critical points
- image intensity