Rotation-Invariant Magnetic Features for Inertial Indoor-Localization.
Konstantin KlippHelge RoseJonas D. WillaredtOliver SawadeIlja RaduschPublished in: IPIN (2018)
Keyphrases
- rotation invariant
- feature vectors
- indoor localization
- feature extraction
- co occurrence
- dominant orientation
- texture features
- texture analysis
- zernike moments
- multiscale
- classification accuracy
- feature set
- texture classification
- mobile phone
- rotation invariance
- gabor filters
- neural network
- image segmentation
- computer vision