000 03999nam a22005415i 4500
001 978-3-031-79546-6
003 DE-He213
005 20240730163656.0
007 cr nn 008mamaa
008 220601s2009 sz | s |||| 0|eng d
020 _a9783031795466
_9978-3-031-79546-6
024 7 _a10.1007/978-3-031-79546-6
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
100 1 _aSbert, Mateu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979893
245 1 0 _aInformation Theory Tools for Computer Graphics
_h[electronic resource] /
_cby Mateu Sbert, Miquel Feixas, Jaume Rigau, Miguel Chover, Ivan Viola.
250 _a1st ed. 2009.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2009.
300 _aXII, 153 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 Computer Graphics and Animation,
_x1933-9003
505 0 _aInformation Theory Basics -- Scene Complexity and Refinement Criteria for Radiosity -- Shape Descriptors -- Refinement Criteria for Ray-Tracing -- Viewpoint Selection and Mesh Saliency -- View Selection in Scientific Visualization -- Viewpoint-based Geometry Simplification.
520 _aInformation theory (IT) tools, widely used in scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also emerging as useful transversal tools in computer graphics. In this book, we present the basic concepts of IT and how they have been applied to the graphics areas of radiosity, adaptive ray-tracing, shape descriptors, viewpoint selection and saliency, scientific visualization, and geometry simplification. Some of the approaches presented, such as the viewpoint techniques, are now the state of the art in visualization. Almost all of the techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. Here, we have stressed their common aspects and presented them in an unified way, so the reader can clearly see which problems IT tools can help solve, which specific tools to use, and how to apply them. A basic level of knowledge in computer graphics is required but basic concepts inIT are presented. The intended audiences are both students and practitioners of the fields above and related areas in computer graphics. In addition, IT practitioners will learn about these applications. Table of Contents: Information Theory Basics / Scene Complexity and Refinement Criteria for Radiosity / Shape Descriptors / Refinement Criteria for Ray-Tracing / Viewpoint Selection and Mesh Saliency / View Selection in Scientific Visualization / Viewpoint-based Geometry Simplification.
650 0 _aMathematics.
_911584
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_979894
650 1 4 _aMathematics.
_911584
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aFeixas, Miquel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979895
700 1 _aRigau, Jaume.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979896
700 1 _aChover, Miguel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979897
700 1 _aViola, Ivan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979898
710 2 _aSpringerLink (Online service)
_979899
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031795459
776 0 8 _iPrinted edition:
_z9783031795473
830 0 _aSynthesis Lectures on Computer Graphics and Animation,
_x1933-9003
_979900
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79546-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c84866
_d84866