Image Processing Reference
In-Depth Information
was another important topic of discussion the same year. The subject of how to eval-
uate visualization returned a few years later. Chris Johnson published a list of 10 top
problems in scientific visualization research. This was followed up by report of both
past achievements and future challenges in visualization research as well as financial
support recommendations to the National Science Foundation (NSF) and National
Institute of Health (NIH). Chen recently published the first list of top unsolved infor-
mation visualization problems. Future research directions of topology-based visual-
ization was also a major theme of a workshop on topology-based methods. Laramee
and Kosara published a list of top future challenges in human-centered visualization.
19.1 Introduction
Robert S Laramee:
Evaluation, solved and unsolved problems, and future directions are popular themes
pervading the visualization community over the last decade. The top unsolved prob-
lems in both scientific and information visualization was the subject of an IEEE
Visualization Conference panel in 2004 [ 10 ]. The future of graphics hardware was
another important topic of discussion the same year [ 6 ]. The subject of how to eval-
uate visualization returned a few years later [ 3 , 12 ]. Chris Johnson published a list of
top problems in scientific visualization research [ 4 ]. This was followed up by report
of both past achievements and future challenges in visualization research as well
as financial support recommendations to the National Science Foundation (NSF)
and National Institute of Health (NIH) [ 5 ]. Chen recently published the first list of
top unsolved information visualization problems [ 1 ]. Future research directions of
topology-based visualization was also a major theme of a workshop on topology-
based methods [ 2 , 11 ]. Laramee and Kosara published a list of top future challenges
in human-centered visualization [ 7 ].
These pervasive themes coincide roughlywith the 20th anniversary of what is often
recognized as the start of visualization in computing as a distinct field of research [ 8 ].
Consensus is growing that some fundamental problems have been solved and a re-
alignment including new directions is sought. In accordance to this redirection, we
present a list of top unsolved problems and future challenges in multi-field visu-
alization. Our list draws upon discussions at the Dagstuhl Workshop in Scientific
Visualization 2011 as well as our own first hand experiences.
19.2 Challenges
Hamish Carr on Topology:
While scalar and vector topology have received a lot of attention, multifield topology
and visualization techniques based on it have not. Moreover, where a large body of
 
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