Learning rotation invariant convolutional filters for texture classification.
Diego MarcosMichele VolpiDevis TuiaPublished in: ICPR (2016)
Keyphrases
- texture classification
- rotation invariant
- texture analysis
- local binary pattern
- steerable filters
- texture features
- texture images
- image analysis
- rotation invariance
- filter responses
- gabor wavelets
- rotation invariant texture classification
- brodatz textures
- image descriptors
- zernike moments
- feature vectors
- co occurrence
- scale invariance
- feature extraction
- face recognition
- scale and rotation invariant
- object detection
- wavelet transform
- object recognition
- image texture
- highly discriminative
- image processing
- machine learning