Dynamic textures are spatial-temporal processes that exhibit statistical stationarity or stochastic repetitiveness in the temporal dimension. In this paper, we study the problem of modeling and synthesizing dynamic textures using a generative version of the convolution neural network (ConvNet or CNN) that consists of multiple layers of spatial-temporal filters to capture the spatial-temporal pa...

We present a comprehensive phenomenological analysis of the allowed hybrid textures of neutrinos. Out of a total of sixty hybrid textures with one equality between the elements of neutrino mass matrix and one texture zero only twenty three are found to be viable at 99% C.L. whereas the earlier analysis found fifty four to be viable. We examine the phenomenological implications of the allowed hy...

We present a number of techniques to facilitate the generation of textures for facial modeling. In particular, we address the generation of facial skin textures from uncalibrated input photographs as well as the creation of individual textures for facial components such as eyes or teeth. Apart from an initial feature point selection for the skin texturing, all our methods work fully automatical...

Three experiments are reported concerning the texture density aftereffect. The experiments address the question of how visual texture density information is encoded by examining patterns of transfer between different textures. In the first two experiments, it is shown that manipulation of spatial frequency and orientation information does not affect the direction of the aftereffect of density (...

Three experiments are reported concerning the texture density aftereffect. The experiments address the question of how visual texture density information is encoded by examining patterns of transfer between different textures. In the first two experiments, it is shown that manipulation of spatial frequency and orientation information does not affect the direction of the aftereffect of density (...

Oriented textures are characterised by a dominant orientation at each point of the texture, and can be summarised by images encoding these dominant orientations. Because of the angular values in these images, standard morphological operators are not suited to their treatment. We discuss the application of the morphological circular centred operators to the analysis of oriented textures for the ...