Visual Texture

Accurate Material Appearance Measurement, Representation and Modeling

  • Michal Haindl
  • Jiří Filip

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

Table of contents

  1. Front Matter
    Pages I-XXXI
  2. Michal Haindl, Jiří Filip
    Pages 1-7
  3. Michal Haindl, Jiří Filip
    Pages 9-22
  4. Michal Haindl, Jiří Filip
    Pages 23-62
  5. Michal Haindl, Jiří Filip
    Pages 63-95
  6. Michal Haindl, Jiří Filip
    Pages 97-117
  7. Michal Haindl, Jiří Filip
    Pages 119-145
  8. Michal Haindl, Jiří Filip
    Pages 147-209
  9. Michal Haindl, Jiří Filip
    Pages 211-230
  10. Michal Haindl, Jiří Filip
    Pages 231-253
  11. Michal Haindl, Jiří Filip
    Pages 255-276
  12. Michal Haindl, Jiří Filip
    Pages 277-279
  13. Back Matter
    Pages 281-284

About this book


Although the field of texture processing is now well-established, research in this area remains predominantly restricted to texture analysis and simple and approximate static textures.

This comprehensive text/reference presents a survey of the state of the art in multidimensional, physically-correct visual texture modeling. Starting from basic principles and building upon the fundamentals to the latest advanced methods, the book brings together research from computer vision, pattern recognition, computer graphics, virtual and augmented reality. The text assumes a graduate-level understanding of statistics and probability theory, and a knowledge of basic computer graphics principles, but is accessible to newcomers to the field.

Topics and 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 image processing and medical applications, to high-quality visualizations for cultural heritage and the automotive industry

Researchers, lecturers, students and practitioners will all find this book an invaluable reference on the rapidly developing new field of texture modeling.


BTF Illumination Invariants Image Retrieval Image Segmentation Material Appearance Multidimensional Models Texture Synthesis Visual Quality Criteria

Authors and affiliations

  • Michal Haindl
    • 1
  • Jiří Filip
    • 2
  1. 1.Inst. of Information Theory & AutomationAcad. of Sciences of the Czech RepublicPragueCzech Republic
  2. 2.Inst. of Information Theory & AutomationAcad. of Sciences of the Czech RepublicPragueCzech Republic

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4901-9
  • Online ISBN 978-1-4471-4902-6
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment