Rotation invariant feature extraction from 3-D acceleration signals.
Takumi KobayashiKôiti HasidaNobuyuki OtsuPublished in: ICASSP (2011)
Keyphrases
- rotation invariant
- feature extraction
- gabor wavelets
- texture analysis
- feature vectors
- texture features
- texture classification
- local binary pattern
- gabor filters
- texture image retrieval
- rotation invariance
- hilbert transform
- texture images
- steerable filters
- signal processing
- zernike moments
- scale invariance
- dominant orientation
- pattern recognition
- shape context
- gray level
- texture descriptors
- feature space
- face recognition
- signal analysis
- frequency domain
- feature selection
- scale and rotation invariant
- image processing
- wavelet transform
- preprocessing
- feature representation
- feature set
- multiscale
- steerable pyramid
- discriminant analysis
- subband
- object detection
- image features
- image analysis