Shape and texture provide cues to object identity, both when objects are explored using vision and via touch (haptics). Visual shape information is processed within the lateral occipital complex (LOC), while texture is processed in medial regions of the collateral sulcus (CoS). Evidence indicates that the LOC is recruited during both visual and haptic shape processing. Here we used functional m...

This paper examines the problem of estimating surface shape from texture in situations in which there are multiple textures present due to texture discontinuities, occlusion, and pseudo-transparency (for example looking through a picket fence at a textured surface). Previous shape-from-texture methods that use changes in the spatial frequencyrepresentation of neighboring image patches assume th...

Video games and simulators commonly use very detailed textures, whose cumulative size is often larger than the GPU memory. Textures may be loaded progressively, but dynamically loading and transferring this large amount of data in GPU memory results in loading delays and poor performance. Therefore, managing texture memory has become an important issue. While this problem has been (partly) addr...

Previous the 3D model texture generation from multi-view images and mapping algorithms has issues in the texture chart generation which are the self-intersection and the concentration of the texture in texture space. Also we may suffer from some problems due to the occluded areas, such as inside parts of thighs. In this paper we propose a texture mapping technique for 3D models using multi-view...

This paper describes an approach, called PRAX, to learning descriptions of a large number of texture concepts from texture samples. The learning process consists of two phases: 1) learning descriptions of selected subset of texture classes, called principal axes (briefly, praxes), and 2) learning descriptions of other classes (non-prax classes), by relating them to the praxes. Descriptions of n...

Digital image and video libraries require new algorithms for the automated extraction and indexing of salient image features. Texture features provide one important cue for the visual perception and discrimination of image content. In this paper we propose a new approach for automated content extraction that allows for e cient database searching using texture features. The algorithm automatical...

In this paper, we present a new method for creating shadow texture atlas with which we can represent the self-shadow. Shadow texture atlas is a texture atlas with shadow information in each texel. Shadow texture is effective to represent high-quality shadow using the graphics hardware because it stores shadow information as color unlike shadow map which stores depth. However, it cannot represen...

In this paper, we investigate a new approach to the cooccurrence matrix currently used to extract textural features: co-occurrence matrices for volumetric data. While traditional texture metrics have concentrated on 2D texture, 3D imaging modalities are becoming more and more prevalent, providing the possibility of examining texture as a volumetric phenomenon. Just as computer graphics have use...

The solid map provides a view-independent method for solid texturing using an ordinary 2-D surface texture map. The solid map transforms a model’s polygons into 2-D texture space without overlap. It then rasterizes the polygons in this space, interpolating the solid texture coordinates across the pixels of the polygon. These stored solid texture coordinates are then read by a texture synthesis ...

Texture is an important visual feature for content-based image retrieval. An ideal content-based retrieval system should compare images in its database with the query in a manner that is consistent with human’s perception of visual similarity. Moreover, texture matching should be invariant to texture scale and orientation because the same texture can appear in the images in varying scales and o...