A simple folded plate geometry – saw-tooth that consists of a single fold, and a more complex folded-plate units based on pyramids.
An improved three-dimensional local sparse motion scale invariant feature transform descriptor is used in [14], for RGB-D videos, based on grey pyramid, depth pyramid and optical flow pyramids that are built for both colour frames and depth maps.
We have explored two versions of morphological multi-scale metric, Morphological Pyramid Peak Signal-to-Noise Ratio measure, MP-PSNR, based on morphological pyramid decomposition and Morphological Wavelet Peak Signal-to-Noise Ratio measure, MW-PSNR, based on morphological wavelet decomposition.
Two versions of morphological multiscale metric have been explored: (a) Morphological Pyramid Peak Signal-to-Noise Ratio metric (MP-PSNR) based on morphological pyramid decomposition, and (b) Morphological Wavelet Peak Signal-to-Noise Ratio metric (MW-PSNR) based on morphological wavelet decomposition.
Many sales are based on the "pyramid of influence" model, where top touring pros use and endorse a ball, and it extends to the masses who want to emulate the best.
The development and certification of aeronautical composite structures is still largely based on the pyramid of tests.
To achieve seamless blending, a technique (based on MR pyramid decomposition) proposed in [48] is developed for combining two or more images into a larger image mosaic.
This paper presents a resolution enhancement (RE) algorithm based on the pyramid structure, in which Laplacian histogram matching is utilized for high-frequency image prediction.
By using a new rotation-invariant and scale-invariant image descriptor based on steerable pyramid decomposition, and a novel multiclass recognition method based on optimum-path forest, a new texture recognition system is proposed.
In their paper, "Learning how to extract rotation-invariant and scale-invariant features from texture images," J. A. Montoya-Zegarra et al. propose a texture recognition system based on steerable pyramid decomposition and optimum path forest recognition.
