Motivation: There exists no way to directly measure the similarity between the content of images. Without the ability to measure similarity, it is impossible to treat images as queryable, searchable, or sortable data. As a result queries for images are typically satisfied by manually searching through all images in the entire image database. To automate this process, new techniques are needed t...

Our daily visual experiences are inevitably linked to recognizing the rich variety of textures. However, how the brain encodes and differentiates a plethora of natural textures remains poorly understood. Here, we show that many neurons in macaque V4 selectively encode sparse combinations of higher-order image statistics to represent natural textures. We systematically explored neural selectivit...

The paper proposes a novel approach to the classification of compressed videos containing dynamic textures. The term dynamic texture is usually used with reference to image sequences of various natural processes that exhibit stochastic dynamics (e.g., water, fire and windblown vegetation). Description and recognition of dynamic textures have attracted growing attention. Although one of the most...

With the introduction of programmable pixel pipelines, graphics features that were once somewhat obscure are now finding additional uses. One example of this is 3D or volumetric textures. While 3D textures have been in high-end graphics hardware for about a decade and appeared in consumer hardware nearly two years ago, few real applications have been created to take advantage of them. The reali...

We develop a computational approach to non-parametric Fisher information geometry and algorithms to calculate geodesic paths in this geometry. Geodesics are used to quantify divergence of probability density functions and to develop tools of data analysis in information manifolds. The methodology developed is applied to several image analysis problems using a representation of textures based on...

Understanding the structure of the wavefunction is essential for depicting the surface states of a topological insulator. Owing to the inherent strong spin–orbit coupling, the conventional hand-waving picture of the Dirac surface state with a single chiral spin texture is incomplete, as this ignores the orbital components of the Dirac wavefunction and their coupling to the spin textures. Here, ...

A series of hot-compression tests and Taylor-model simulations were carried out with the intention of developing a simple expression for the proof stress of magnesium alloy AZ31 during hot working. A crude approximation of wrought textures as a mixture of a single ideal texture component and a random background was employed. The shears carried by each deformation system were calculated using a ...

This paper focuses on directional textures. It provides a new framework for the design of convolution masks dedicated to orientation estimation and an adaptive algorithm which chooses the best mask size for each pixel. The design of the adaptive algorithm is based on the combination of two complementary operators: a gradient based operator which is adapted to sloped regions and a valleyness det...

This paper proposes a Markov random field (MRF) model-based method for unsupervised segmentation of multispectral images consisting of multiple textures. To model such textured images, a hierarchical MRF is used with two layers, the first layer representing an unobservable region image and the second layer representing multiple textures which cover each region. This method uses the Expectation ...

This paper focuses on directional textures and proposes a new statistical approach for the second order description of an orientation vector field. We tackle two of the main high level properties that drive the perceptual grouping of texture: directionality and periodicity. Our method is based on the measure of similarity between two orientation vectors separated by a given displacement. We pro...