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_a10.1007/978-3-031-02587-7 _2doi |
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100 | 1 |
_aEtiene, Tiago. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979066 |
|
245 | 1 | 3 |
_aAn Introduction to Verification of Visualization Techniques _h[electronic resource] / _cby Tiago Etiene, Robert M. Kirby, Cláudio T. Silva. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXII, 80 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_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 isthe 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. | ||
650 | 0 |
_aMathematics. _911584 |
|
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
|
650 | 0 |
_aComputer vision. _979067 |
|
650 | 1 | 4 |
_aMathematics. _911584 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
700 | 1 |
_aKirby, Robert M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979068 |
|
700 | 1 |
_aSilva, Cláudio T. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979069 |
|
710 | 2 |
_aSpringerLink (Online service) _979070 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031014598 |
776 | 0 | 8 |
_iPrinted edition: _z9783031037153 |
830 | 0 |
_aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging, _x2469-4223 _979071 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02587-7 |
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