Consistent with ideas of urban shrinkage, many town centres have experienced years increasing vacancy due to the loss brand name retailers, and a crisis has emerged as conditions deteriorated. This paper makes conceptual practical linkages related “smart-decline”/“rightsizing” literature provide insights regarding challenges centre shrinkage strategies governance structures required realise opp...

Embedding geometric textures in a shell space around an arbitrary surface has been a popular way to add highly detailed geometric details and enhance visual richness in graphics community, but the dynamic effects of geometric textures have not been modeled and simulated. In this paper, we introduce an efficient algorithm for deforming geometric textures with dynamic effects. The algorithm consi...

In this correspondence, a random field model based on moving average (MA) time-series model is proposed for modeling stochastic and structured textures. A frequency domain algorithm to synthesize MA textures is developed, and maximum likelihood estimators are derived. The Cramer-Rao lower bound is also derived for measuring the estimator accuracy. The estimation algorithm is applied to real tex...

this paper extends the notion of ditopology to the case where openness and closedness are given in terms of {em a priori} unrelated drading functions. the resulting notion of graded ditopology is considered both in the setting of lattices and in that textures, the relation between the two approaches being discussed in detail. interrelations between graded ditopologies and ditopologies on textur...

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...

Vector field visualization generates an image to convey the information existing in the data. We use Markov Random Field texture synthesis methods to generate the visualization from a set of example textures. The examples textures are chosen according to the vector data for each pixel of the output. This leads to dense visualizations with arbitrary example textures.