RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification.
Bahareh ShakibajahromiEdward KimDavid E. BreenPublished in: WACV (2024)
Keyphrases
- rotation invariant
- classification procedure
- neural network
- feature vectors
- pattern recognition
- rotation invariance
- classification accuracy
- texture analysis
- gabor filtering
- texture image retrieval
- scale and rotation invariant
- dominant orientation
- texture features
- thinning algorithm
- image classification
- support vector machine
- feature extraction
- image analysis
- support vector
- post processing
- distance measure
- local binary pattern
- texture classification
- gabor filters
- texture images
- feature set
- steerable filters
- decision trees
- feature selection
- computer vision