Über den Autor
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. Jirí Filip is a Research Associate at the same institution.
Static Multispectral Textures
Spatially-Varying Bidirectional Reflectance Distribution Functions
Bidirectional Texture Functions
Perceptual Validation and Analysis
Conclusions and Open Problems
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.
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