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Motivation

  • Michal Haindl
  • Jiří Filip
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

Visual information is the most important information on which the majority of all living organisms base their cognition and survival strategy. A visual scene has two important cognitive categories, which are crucial for image understanding: shapes and materials. This book focuses on the latter category—visual aspects of surface materials which manifest themselves as visual textures. Visual texture is of key importance for recognition of objects as well as for estimation of their properties. Pixels, as the basic elements of any digitized visual texture, are known to be highly spatially, and spectrally correlated, but they are also correlated in the time or viewing and illumination angular spaces. Representations of visual textures which respect these multi-dimensional visual space correlations thus form an advantageous foundation for any advanced visual information processing applied to both cognitive (analysis) and modeling (synthesis) purposes.

Keywords

Texture Model Bidirectional Reflectance Distribution Function Dynamic Texture Visual Texture Material Appearance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover, New York (1966) Google Scholar
  2. 2.
    Landy, M., Graham, N.: Visual perception of texture. Vis. Neurosci. 2, 1106–1118 (2004) Google Scholar

Copyright information

© Springer-Verlag London 2013

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

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