A Study of Transfer Function Generation for Time-Varying Volume Data
In Volume Graphics 2001: Proceedings of the Joint
IEEE TCVG and Eurographics Workshop, Klaus Mueller and Arie Kaufman,
eds., pp. 51–68, Springer-Verlag 2001.
Abstract
The proper usage and creation of transfer functions for time-varying data
sets is an often ignored problem in volume visualization. Although methods and
guidelines exist for time-invariant data, little formal study for the
time-varying case has been performed. This paper examines this problem, and
reports the study that we have conducted to determine how the dynamic behavior
of time-varying data may be captured by a single or small set of transfer
functions. The criteria which dictate when more than one transfer function is
needed were also investigated. Four data sets with different temporal
characteristics were used for our study. Results obtained using two different
classes of methods are discussed, along with lessons learned. These methods,
including a new multi-resolution opacity map approach, can be used for
semi-automatic generation of transfer functions to explore large-scale
time-varying data sets.
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Copyright
Copyright 2001, Springer-Verlag
Affiliated Projects
Transfer Function Generation
BibTeX Citation
@inproceedings{Jankun-Kelly:2001:ASo,
Abstract = {The proper usage and creation of transfer functions
for time-varying data sets is an often ignored problem in volume
visualization. Although methods and guidelines exist for
time-invariant data, little formal study for the time-varying
case has been performed. This paper examines this problem, and
reports the study that we have conducted to determine how the
dynamic behavior of time-varying data may be captured by a
single or small set of transfer functions. The criteria which
dictate when more than one transfer function is needed were
also investigated. Four data sets with different temporal
characteristics were used for our study. Results obtained
using two different classes of methods are discussed, along
with lessons learned. These methods, including a new
multi-resolution opacity map approach, can be used for
semi-automatic generation of transfer functions to explore
large-scale time-varying data sets.},
Address = {Wein},
Author = {T. J. Jankun-Kelly AND Kwan-Liu Ma},
Booktitle = {Volume Graphics 2001: Proceedings of the Joint IEEE
TCVG and Eurographics Workshop},
Editor = {Klaus Mueller AND Arie Kaufman},
Eventtime = {June 21--22, 2001},
Isbn = {3-211-83737-X},
Issn = {ISSN 1727-8376},
Keywords = {transfer function generation, time-varying data,
volume rendering, visualization},
Location = {Stony Brook, NY, U.S.A.},
Month = {June},
Organization = {IEEE TCVG and Eurographics},
Pages = {51--68},
Publisher = {Springer-Verlag},
Series = {Eurographics},
Title = {A Study of Transfer Functions Generation for Time-Varying
Volume Data},
Year = {2001}}
Contact
Dr. T.J. Jankun-Kelly [tjk@cse.msstate.edu], Department of
Computer Science and Engineering, Mississippi State University.
