State of the Art in Transfer Functions for Direct Volume Rendering

A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality,...

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Veröffentlicht in:	Computer graphics forum Jg. 35; H. 3; S. 669 - 691
Hauptverfasser:	Ljung, Patric, Krüger, Jens, Groller, Eduard, Hadwiger, Markus, Hansen, Charles D., Ynnerman, Anders
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.06.2016
Schlagworte:	Analysis and texture Automation Categories and Subject Descriptors (according to ACM CCS) Computer graphics Encoding I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Color I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism—Color, shading, shadowing, and texture I.3.8 [Computer Graphics]: Applications-Volume Rendering I.4.10 [Computer Graphics]: Image Representation-Volumetric Rendering shading shadowing Stars State of the art Studies Transfer functions Translating Visual Visualization
ISSN:	0167-7055, 1467-8659, 1467-8659
Online-Zugang:	Volltext
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Zusammenfassung:	A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state‐of‐the‐art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead to interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.
Bibliographie:	ark:/67375/WNG-6SX01782-C ArticleID:CGF12934 istex:C8EEFFA1F43EB7A6D872BB03D6F7684B15A105E5 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0167-7055 1467-8659 1467-8659
DOI:	10.1111/cgf.12934