… descriptor, that is, a rotation invariant histogram of oriented gradients (RIHOG). RIHOG … of
the histogram of oriented gradients (HOG), which is very sensitive to image rotation. The HOG …

… , in this paper, we propose a novel feature descriptor on histograms of oriented gradients,
ie, rotationinvariant histograms of oriented gradients (Ri-HOG), which owns an annular spatial …

… , namely, rotation-invariant histograms of oriented gradients (Ri-HOG) … apply radial gradient
to attain gradient binning invariance for … HOG in regard to rotationinvariant ability and feature …

… We use orientation normalization, feature … rotational invariance of the histogram of oriented
gradients. Validation experiments indicate that the proposed descriptor is robust to rotation, …

… which are histograms of rotation invariant … -invariant histogram over the whole region and
then constructing representation rotationally invariant from that histogram; that is to say, rotation …

… We begin with a brief description of Histograms of Oriented Gradients and then describe
the construction of initial reference sets, their iterative adjustment, and a weight estimation …

… We demonstrate that, by combining pairs of oriented gradients at different scales, it’s … rotational
invariance, arising from the additional confusion of similar rotationally invariant characters …

… Extracting rotation invariant features is a valuable technique for the effective classification
of rotation invariant texture. The Histograms of Oriented Gradients (HOG) algorithm has been …

… After reviewing existing edge and gradient based descriptors, we show experimentally that
grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing …

… We propose a new low-dimensional rotation invariant local texture-descriptor with a low …
sensitive to rotation of texture patterns in an image. On the other hand, rotation-invariant features …