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008			220601s2016 sz | o |||| 0|eng d
020			_a9783031025877
024	7		_a10.1007/978-3-031-02587-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.I52 _b2016 EB
100	1		_aEtiene, Tiago _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686607
245	1	3	_aAn Introduction to Verification of Visualization Techniques _cby Tiago Etiene, Robert M. Kirby, Cláudio T. Silva
250			_a1st edition 2016
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XII, 80 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Visual Computing: Computer Graphics Animation Computational Photography and Imaging _x2469-4223
505	0		_aPreface -- Introduction -- Visualization in the Real World -- Validation and Verification in Simulation Science -- Isosurface Verification -- Volume Rendering Verification -- Conclusion -- Bibliography -- Authors' Biographies.
520			_aAs we increase our reliance on computer-generated information, often using it as part of our decision-making process, we must devise tools to assess the correctness of that information. Consider, for example, software embedded on vehicles, used for simulating aircraft performance, or used in medical imaging. In those cases, software correctness is of paramount importance as there's little room for error. Software verification is one of the tools available to attain such goals. Verification is a well known and widely studied subfield of computer science and computational science and the goal is to help us increase confidence in the software implementation by verifying that the software does what it is supposed to do. The goal of this book is to introduce the reader to software verification in the context of visualization. In the same way we became more dependent on commercial software, we have also increased our reliance on visualization software. The reason is simple: visualization is the lens through which users can understand complex data, and as such it must be verified. The explosion in our ability to amass data requires tools not only to store and analyze data, but also to visualize it. This book is comprised of six chapters. After an introduction to the goals of the book, we present a brief description of both worlds of visualization (Chapter 2) and verification (Chapter 3). We then proceed to illustrate the main steps of the verification pipeline for visualization algorithms. We focus on two classic volume visualization techniques, namely, Isosurface Extraction (Chapter 4) and Direct Volume Rendering (Chapter 5). We explain how to verify implementations of those techniques and report the latest results in the field of verification of visualization techniques. The last chapter concludes the book and highlights new research topics for the future.
988			_aSynthesis Collection of Technology_2016
650		7	_2embne _9145622 _aSistemas de visualización de información
700	1		_aKirby, Robert M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686412 _d1975-
700	1		_aSilva, Cláudio T. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686608
776	0	8	_iPrinted edition: _z9783031014598
776	0	8	_iPrinted edition: _z9783031037153
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02587-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eb _zSI