Rotation-Invariant Convolution Networks with Hexagon-Based Kernels.
Yiping TangKohei HatanoEiji TakimotoPublished in: IEICE Trans. Inf. Syst. (2024)
Keyphrases
- rotation invariant
- rotation invariance
- texture analysis
- texture classification
- convolution kernel
- feature vectors
- shape context
- texture features
- scale invariance
- texture image retrieval
- dominant orientation
- steerable filters
- zernike moments
- local binary pattern
- image processing
- gabor filters
- thinning algorithm
- kernel function
- image compression
- support vector
- texture images
- standard deviation
- kernel methods
- image reconstruction
- correlation function
- multiscale