TY - JOUR
T1 - State of the Art in Transfer Functions for Direct Volume Rendering
AU - Ljung, Patric
AU - Krüger, Jens
AU - Groller, Eduard
AU - Hadwiger, Markus
AU - Hansen, Charles D.
AU - Ynnerman, Anders
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2016/7/4
Y1 - 2016/7/4
N2 - 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. © 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
AB - 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. © 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
UR - http://hdl.handle.net/10754/621418
UR - http://doi.wiley.com/10.1111/cgf.12934
UR - http://www.scopus.com/inward/record.url?scp=84978933899&partnerID=8YFLogxK
U2 - 10.1111/cgf.12934
DO - 10.1111/cgf.12934
M3 - Article
SN - 0167-7055
VL - 35
SP - 669
EP - 691
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 3
ER -