Visual Texture

This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation; explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations; describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF; investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation; examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics; reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry.

Visual Texture features in the following genres: Computer vision, Pattern recognition, Graphics programming

Hardback. Not Available.

Visual Texture was written by Michal Haindl, Jirí Filip and published by Springer an imprint of Springer London

Visual Texture has 284 pages

Yes it is part of Advances in Computer Vision and Pattern Recognition series