000			03997nam a22004815i 4500
001			978-0-387-32668-9
003			DE-He213
005			20250710083949.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387326689 _a99780387326689
024	7		_a10.1007/978-0-387-32668-9 _2doi
082	0	4	_a006.6 _223
100	1		_aShum, Heung-Yeung. _eauthor.
245	1	0	_aImage-Based Rendering _h[recurso electrónico] / _cby Heung-Yeung Shum, Shing-Chow Chan, Sing Bing Kang.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXX, 408 p. 95 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aRepresentations and Rendering Techniques -- Static Scene Representations -- Rendering Dynamic Scenes -- Rendering Techniques -- Sampling -- Plenoptic Sampling -- Geometric Analysis of Light Field Rendering -- Optical Analysis of Light Field Rendering -- Optimizing Rendering Performance using Sampling Analysis -- Compression -- to Compression -- Image Compression Techniques -- Video Compression Techniques -- Compression of Static Image-based Representations -- Compression of Dynamic Image-based Representations -- Systems and Applications -- Rendering by Manifold Hopping -- Large Environment Rendering using Plenoptic Primitives -- Pop-Up Light Field: An Interactive Image-Based Modeling and Rendering System -- Feature-Based Light Field Morphing.
520			_aImage-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. The potential for photorealistic visualization has tremendous appeal, especially for applications such as video games, virtual travel, and E-commerce, which stand to greatly benefit from this technology. Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling. As leading researchers in the field, the authors combine their unique experiences in computer graphics, computer vision, and signal processing to address the multidisciplinary nature of IBR research. The text is divided into three parts: Representations and Rendering Techniques, Sampling, and Compression. The topics covered vary from IBR basic concepts and representations on the theory side to signal processing and data compression on the practical side and examines several IBR systems built to-date. This title is exceptional in its extensive focus on image-based rendering and is intended for researchers, professionals, and general readers interested in the topics of computer graphics, computer vision, image process, and video processing. Advanced-level students in EECS studying related disciplines will be able to expand their knowledge of IBR. Providing the reader with both historical background and the technical concepts and advances in the field, Image-Based Rendering is an invaluable reference tool and guide to new discoveries and applications.
650		0	_aCOMPUTER SCIENCE.
650		0	_aMULTIMEDIA SYSTEMS.
650		0	_aCOMPUTER VISION.
650		0	_aCOMPUTER GRAPHICS.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aCOMPUTER GRAPHICS.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aMULTIMEDIA INFORMATION SYSTEMS.
700	1		_aChan, Shing-Chow. _eauthor.
700	1		_aKang, Sing Bing. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387211138
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-32668-9 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c57193 _d57193