Visual Texture
Accurate Material Appearance Measurement, Representation and Modeling
(Sprache: Englisch)
This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. The authors review the entire process of texture synthesis, visualization, measurement and analysis, as well as applications in medicine and industry.
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Produktinformationen zu „Visual Texture “
This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. The authors review the entire process of texture synthesis, visualization, measurement and analysis, as well as applications in medicine and industry.
Klappentext zu „Visual Texture “
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.
Inhaltsverzeichnis zu „Visual Texture “
Motivation.- Representation.- Texture Acquisition.- Static Multispectral Textures.- Dynamic Textures.- Spatially-Varying Bidirectional Reflectance Distribution Functions.- Bidirectional Texture Functions.- Visualization.- Perceptual Validation and Analysis.- Applications.- Conclusions and Open Problems.
Autoren-Porträt von Michal Haindl, Jiri Filip
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.
Bibliographische Angaben
- Autoren: Michal Haindl , Jiri Filip
- 2016, Softcover reprint of the original 1st ed. 2013, XXXI, 284 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1447169158
- ISBN-13: 9781447169154
Sprache:
Englisch
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