000			02977nam a22004815i 4500
001			978-3-642-35777-0
003			DE-He213
005			20200420220225.0
007			cr nn 008mamaa
008			130504s2013 gw | s |||| 0|eng d
020			_a9783642357770 _9978-3-642-35777-0
024	7		_a10.1007/978-3-642-35777-0 _2doi
050		4	_aT385
072		7	_aUML _2bicssc
072		7	_aCOM012000 _2bisacsh
082	0	4	_a006.6 _223
100	1		_aDong, Yue. _eauthor.
245	1	0	_aMaterial Appearance Modeling: A Data-Coherent Approach _h[electronic resource] / _cby Yue Dong, Stephen Lin, Baining Guo.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aX, 178 p. 96 illus., 92 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- 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.
520			_aOne 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 computer graphics imagery.
650		0	_aComputer science.
650		0	_aComputer graphics.
650		0	_aImage processing.
650	1	4	_aComputer Science.
650	2	4	_aComputer Graphics.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aImage Processing and Computer Vision.
700	1		_aLin, Stephen. _eauthor.
700	1		_aGuo, Baining. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642357763
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-35777-0
912			_aZDB-2-SCS
942			_cEBK
999			_c52140 _d52140