Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling

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Michal Haindl Jiri Filip

Visual Texture

Name: Visual Texture
Price: 201.58 AUD
Availability: OutOfStock
ISBN: 9781447149019

Accurate Material Appearance Measurement, Representation and Modeling

Michal Haindl, Jiri Filip

$251.95 $201.58

Hardback

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English

Springer London Ltd
18 January 2013

Graphics programming; Pattern recognition; Computer vision

Series: Advances in Computer Vision and Pattern Recognition

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.

By: Michal Haindl, Jiri Filip
Imprint: Springer London Ltd
Country of Publication: United Kingdom
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 23mm
Weight: 6.547kg
ISBN: 9781447149019
ISBN 10: 1447149017
Series: Advances in Computer Vision and Pattern Recognition
Pages: 284
Publication Date: 18 January 2013
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.