Visual Texture (Hardcover)

Michal Haindl

ISBN 10: 1447149017 / ISBN 13: 9781447149019

Published by Springer London Ltd, England, 2013

About this Item

Hardcover. 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. This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781447149019

Bibliographic Details

• Title: Visual Texture (Hardcover)
• Publisher: Springer London Ltd, England
• Publication Date: 2013
• Language: English
• ISBN 10: 1447149017
• ISBN 13: 9781447149019
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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.

About the Author

Dr. Michal Haindl is a Professor and Head of the Department of Pattern Recognition at the Institute of Information Theory and Automation within the Academy of Sciences of the Czech Republic. Dr. Jiří Filip is a Research Associate at the same institution.