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020 _a9781447149026
_9978-1-4471-4902-6
024 7 _a10.1007/978-1-4471-4902-6
_2doi
035 _ato000483468
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTA1637-1638
050 4 _aTA1637-1638
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_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aHaindl, Michal.
_eauthor.
_9326369
245 1 0 _aVisual Texture
_h[electronic resource] :
_bAccurate Material Appearance Measurement, Representation and Modeling /
_cby Michal Haindl, Jiří Filip.
260 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXXXI, 284 p. 158 illus., 148 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aMotivation -- 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.
520 _aAlthough 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.
650 0 _aComputer Science.
_9155490
650 0 _aComputer graphics.
_9281357
650 0 _aComputer vision.
_9274100
650 0 _aOptical pattern recognition.
_9304126
650 1 4 _aComputer Science.
_9155490
650 2 4 _aImage Processing and Computer Vision.
_9303601
650 2 4 _aPattern Recognition.
_9304129
650 2 4 _aComputer Graphics.
_9281357
700 1 _aFilip, Jiří.
_eauthor.
_9413564
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_9413327
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4902-6
912 _aZDB-2-SCS
999 _c356214