Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds.
Owen MeliaEric M. JonasRebecca WillettPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- rotation invariant
- machine learning
- feature vectors
- rotation invariance
- texture classification
- feature set
- dominant orientation
- steerable filters
- texture analysis
- pattern recognition
- classification accuracy
- gabor filters
- co occurrence
- image features
- object recognition
- thinning algorithm
- scale invariance
- multiscale
- three dimensional