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  • © 2013

Visual Texture

Accurate Material Appearance Measurement, Representation and Modeling

  • The most comprehensive and advanced overview of the mathematical approaches to visual surface analysis, synthesis, and applications
  • The only book covering all known aspects of the most advanced visual surface representation – the Bidirectional Texture Function (BTF)
  • The first book to provide a detailed treatment of texture synthesis
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XXXI
  2. Motivation

    • Michal Haindl, Jiří Filip
    Pages 1-7
  3. Representation

    • Michal Haindl, Jiří Filip
    Pages 9-22
  4. Texture Acquisition

    • Michal Haindl, Jiří Filip
    Pages 23-62
  5. Static Multispectral Textures

    • Michal Haindl, Jiří Filip
    Pages 63-95
  6. Dynamic Textures

    • Michal Haindl, Jiří Filip
    Pages 97-117
  7. Spatially Varying Bidirectional Reflectance Distribution Functions

    • Michal Haindl, Jiří Filip
    Pages 119-145
  8. Bidirectional Texture Functions

    • Michal Haindl, Jiří Filip
    Pages 147-209
  9. Visualization

    • Michal Haindl, Jiří Filip
    Pages 211-230
  10. Perceptual Validation and Analysis

    • Michal Haindl, Jiří Filip
    Pages 231-253
  11. Applications

    • Michal Haindl, Jiří Filip
    Pages 255-276
  12. Conclusions and Open Problems

    • Michal Haindl, Jiří Filip
    Pages 277-279
  13. Back Matter

    Pages 281-284

About this book

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.

Authors and Affiliations

  • Inst. of Information Theory & Automation, Acad. of Sciences of the Czech Republic, Prague, Czech Republic

    Michal Haindl, Jiří Filip

About the authors

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access