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Record Nr. |
UNINA9910437601503321 |
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Autore |
Dong Yue |
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Titolo |
Material appearance modeling : a data-coherent approach / / Yue Dong, Stephen Lin, Baining Guo |
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Pubbl/distr/stampa |
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Berlin ; ; New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (x, 176 pages) : illustrations (chiefly color) |
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Collana |
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Altri autori (Persone) |
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LinStephen <1970-> |
GuoBaining |
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Disciplina |
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Soggetti |
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Computer graphics |
Image processing - Digital techniques |
Computer vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Includes erratum (2 pages at end). |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Surface Reflectance Overview -- Efficient SVBRDF acquisition with manifold bootstrapping -- Interactive SVBRDF Modeling from a Single Image -- Overview of Subsurface Light Transport -- Modeling subsurface light transport with the kernel Nystrom method -- Modeling and rendering subsurface scattering using diffusion equations -- Modeling textured translucent materials with lazy solid texture synthesis -- Overview of Material Fabrication -- Fabricating spatially-varying subsurface scattering -- Conclusion. |
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Sommario/riassunto |
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One of the most prominent goals of computer graphics is to synthesize imagery indistinguishable in appearance from the real world. This however has been a challenge to achieve due to the complex factors that determine the appearance of objects, as well as the broad range of appearances that a given object can exhibit. This book presents a general framework to address this problem based on the inherent coherency in the reflectance data of materials. This coherence-based approach can be comprehensively applied to all the major elements of image-based appearance modeling, from data acquisition and user-assisted modeling to efficient rendering and model editing. The techniques and underlying ideas in this book can benefit practitioners, researchers and students who wish to enhance the realism of their |
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