000 03786nam a22003855i 4500
001 286654
003 MX-SnUAN
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008 150903s2013 xxk| o |||| 0|eng d
020 _a9781447149026
_99781447149026
024 7 _a10.1007/9781447149026
_2doi
035 _avtls000339953
039 9 _a201509030841
_bVLOAD
_c201404300407
_dVLOAD
_y201402061013
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA1637-1638
100 1 _aHaindl, Michal.
_eautor
_9315403
245 1 0 _aVisual Texture :
_bAccurate Material Appearance Measurement, Representation and Modeling /
_cby Michal Haindl, Ji?í Filip.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _axxxI, 284 páginas 158 ilustraciones, 148 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFilip, Ji?í.
_eautor
_9315404
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781447149019
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4902-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c286654
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