Continuous rotation invariant features for gradient-based texture classification ?
Four highly discriminative and continuous rotation invariant methods are proposed. We use the Hessian matrix and Gaussian derivative filters. Verified on the CUReT, KTH-TIPS, KTH-TIPS2-a, UIUC and Brodatz texture datasets.
rotation invariance texture classification hessian matrix hog cohog eigen analysis