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020 _a9783031025877
_9978-3-031-02587-7
024 7 _a10.1007/978-3-031-02587-7
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
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.
300 _aXII, 80 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
912 _aZDB-2-SXSC
942 _cEBK
999 _c84709
_d84709