SIFT-AID: Boosting Sift With an Affine Invariant Descriptor Based on Convolutional Neural Networks.
Mariano RodríguezGabriele FaccioloRafael Grompone von GioiPablo MuséJean-Michel MorelJulie DelonPublished in: ICIP (2019)
Keyphrases
- affine invariant
- region descriptors
- sift descriptors
- scale invariant
- keypoints
- scale invariant feature transform
- affine transformation
- object recognition
- convolutional neural networks
- affine invariance
- multiscale
- feature descriptors
- local image descriptors
- feature points
- image features
- feature detectors
- image matching
- scale and rotation invariant
- zernike moments
- shape context
- highly discriminative
- discriminative power
- fourier descriptors
- image representation
- image retrieval
- invariant descriptors
- global features
- shape analysis
- image segmentation
- multiresolution
- action recognition
- contour matching
- feature detection
- scale space
- salient regions
- shape descriptors
- texture descriptors
- local binary pattern
- natural images