Texture-mapping is a traditional graphics technique that has several applications in computer graphics rendering. It uses surface signals to achieve a variety of rendering effects, including color mapping, bump mapping (where surface normals are the signal), displacement mapping (geometry), and self-shadowing. While these rendering effects can also be computed in vertex shaders, texturemapping ...

In this paper, we address the problem of how to seamlessly and without repetition artifacts or visible projective distortion cover the surface of a polygonally-defined model with a texture pattern derived from an acquired 2D image such that the dominant orientation of the pattern will everywhere follow the surface shape in an aesthetically pleasing way. Specifically, we propose an efficient, au...

Shape and texture are both important properties of visual objects, but texture is relatively less understood. Here, we characterized neuronal responses to discrete textures in monkey inferotemporal (IT) cortex and asked whether they can explain classic findings in human texture perception. We focused on three classic findings on texture discrimination: 1) it can be easy or hard depending on the...

The goal of example-based texture synthesis methods is to generate arbitrarily large textures from limited exemplars in order to fit the exact dimensions and resolution required for a specific modeling task. The challenge is to faithfully capture all of the visual characteristics of the exemplar texture, without introducing obvious repetitions or unnatural looking visual elements. While existin...

Pigeons are known to be able to categorize a wide variety of visual stimulus classes. However, it remains unclear which are the characteristics of the perceptually relevant features employed to reach such good performance. Here, we investigate the relative contributions of texture and shape information to categorization decisions about complex natural classes. We trained three groups of pigeons...

Partition of unity parametrics (PUPs) are a recent framework designed for geometric modeling. We propose employing PUPs for procedural texture synthesis, taking advantage of the framework’s guarantees of high continuity and local support. Using PUPs to interpolate among data values distributed through the plane, the problem of texture synthesis can be approached from the perspective of point pl...

To recognize textures many methods have been developed along the years. However, texture datasets may be hard to be classified due to artefacts such as a variety of scale, illumination and noise. This paper proposes the application of binary distance transform on the original dataset to add information to texture representation and consequently improve recognition. Texture images, usually in gr...

Most gray images don’t always require an 8-bit representation for each pixel; in particular, a pixel of texture images may even be coded in no more than 5 bits (32 gray levels). Adequately enough it is probable that between 16 to 32 levels of gray could be a suitable threshold for most gray level texture image representation, before the image shows signs of false contouring or any notable rough...

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 segmentation of image objects by humans has recently been modelled as a two-step process by the BCS/FCS model of Grossberg. First, regions of homogeneous greyvalue distribution or with similar texture patterns are recognized. Second, these regions are progressively grown until they fill-in the whole scene or image. Object boundaries are defined when growing regions with different characteri...