Tutorial 3: Illustrative visualization
Monday, August 29th, 2005. 8:30 - 12:30 (Half Day)
VENUE: Swift Theatre.
||Ivan Viola, Vienna University of Technology|
||Meister Eduard Groeller (T.U. Vienna)|
Bernhard Preim (University of Magdeburg)
David Ebert (Purdue University)
Katja Buehler (VRVis Research Center)
Markus Hadwiger (VRVis Research Center)
Ivan Viola (T.U. Vienna)
Outline and Syllabus
The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.
Such techniques exploit the perception of the human visual system and provide effective visual abstractions
to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive
presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive
techniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic
rendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis
or feature suppression is achieved by combining different abstraction levels in illustrative rendering.
Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization.
To effectively convey the most important visual information there is a significant need for visual abstraction.
For less relevant information the dedicated image space is reduced to enhance more prominent features.
The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart
from visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by
illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most
prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide
information on the data is using exploded views or other types of deformation.
Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect
as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired
patient data. This can be very useful in anatomy education. Another application area is surgical planning which
is demonstrated with two case studies: neck dissection and liver surgery planning.
|Gröller||Introduction of Speakers and Topics||(10 min)|
|Bühler||Human Visual Perception and Illustrative Aspects of Art||(30 min)|
|Ebert||Illustrative and Non-Photorealistig Rendering in Computer Graphics||(20 min)|
- Illustrative Techniques in Visualization
|Hadwiger||Illustrative Visualization for Isosurfaces and Volumes||(30 min)|
|Viola||Smart Visibility in Visualization||(30 min)|
- Applications in Medical Visualization
|Ebert||Interactive Medical Illustration System for Surgical Simulation and Education||(20 min)|
|Preim||Case Studies for Surgical Planning using Illustrative Visualization||(30 min)|
- Closing Remarks and Discussion
Ivan Viola graduated in 2002 from the Vienna University of Technology, Austria, as a Dipl.-Ing. (MSc) in the field of
computer graphics and visualization. Since then he is a PhD student and research associate in the ADAPT research project in
the field of medical visualization and real-time volume visualization. He has co-authored several scientific works published on
international conferences such as IEEE Visualization, EuroVis, and Vision Modeling and Visualization and acted as a reviewer
for conferences in the field of computer graphics and visualization. His research interests are efficient visualization in terms of
quality, performance, and visual information.
Meister E. Gröller is associate professor at the Institute of Computer Graphics and Algorithms (ICGA), Vienna University
of Technology. In 1993 he received his PhD from the same university. His research interests include computer graphics, flow
visualization, volume visualization, and medical visualization. He is heading the visualization group at ICGA. The group performs
basic and applied research projects in the area of scientific visualization. Dr. Gröller has given lecture series on scienti.c
visualization at various other universities (Tübingen, Graz, Praha, Bahia Blanca, Magdeburg). He is a scientific proponent and
member of the Scientific Advisory Committee of the VRVis Kplus center of excellence. The center performs applied research
in virtual reality and visualization. Dr. Gröller co-authored more than 100 scientific publications and acted as a reviewer for
numerous conferences and journals in the field. He also serves on various program and paper committees. Examples include
Computers & Graphics, IEEE Transactions on Visualization and Graphics, EuroVis, IEEE Visualization conference, Eurographics
conference. He is head of the working group on computer graphics of the Austrian Computer Society and member of IEEE
Computer Society, ACM (Association of Computing Machinery), GI (Gesellschaft für Informatik), OCG (Austrian Computer
Markus Hadwiger is a senior researcher in the Medical Visualization department at the VRVis Research Center in Vienna,
Austria. He received a PhD degree in computer science from the Vienna University of Technology in 2004, concentrating on
high-quality real-time volume rendering and texture filtering with graphics hardware. Results on rendering segmented volumes
and non-photorealistic volume rendering have been presented at IEEE Visualization 2003. He is regularly teaching courses
and seminars on computer graphics, visualization, and game programming, including two courses at the annual SIGGRAPH
conference, and two tutorials at IEEE Visualization. Before concentrating on scientific visualization, he was working in the area
of computer games and interactive entertainment.
Katja Bühler is head of the Medical Visualization department at VRVis Research Center for Virtual Reality and Visualization
and external lecturer for medical visualization at the Vienna University of Technology in Vienna, Austria. Her current research
topics are motivated by real world applications in the medical field and focus mainly on techniques for computer aided diagnosis
and surgery simulation, including specialized solution for segmentation and visualization. She studied Mathematics with focus
on Geometry, Numerics and Computer Science at the University of Karlsruhe, Germany and received her diploma in pure
Mathematics in 1996. In 2001 she received a PhD in computer science from the Institute of Computer Graphics and Algorithms,
Vienna University of Technology for her work on reliable geometry processing. Katja Bühler has worked as researcher at
the Institute for Applied Mathematics, University of Karlsruhe, Germany and the Center of Computer Graphics and Applied
Geometry, Universidad Central de Venezuela, Caracas, Venezuela. She became assistant professor at the Institute of Computer
Graphics and Algorithms, Vienna University of Technology in 1998 and was teaching courses in computer graphics, algorithms
and data structures, and programming. In 2002 she joined the medical visualization group at VRVis as senior researcher and
became key researcher in 2003.
Bernhard Preim worked for four years as project leader Surgery planning at the Center for Medical Visualization and
Diagnostic Systems (MeVis Bremen, Germany) before he was appointed as full professor for visualization at the computer science
department at the Otto-von-Guericke-University of Magdeburg, Germany. His research group focusses on medical visualization
and specific applications in surgical education and surgery planning. He is speaker of the working group Medical Visualization
in the German Society for Computer Science. He is member of the scientific advisary boards of ICCAS (International
Competence Center on Computer-Assisted Surgery Leipzig, since 2003) and CURAC (German Society for Computer- and
Roboter-assisted Surgery, since 2004) and Visiting Professor at the University of Bremen. He is author and co-author of more
than 80 publications, most of them dealing with interactive visualizations in medical applications. His research interests include
3D interaction techniques, visualization techniques for medical volume data (visualization of vasculature, transfer function
design, illustrative medical visualization) and computer support for medical diagnosis and treatment planning, in particular neck
dissection planning and liver surgery planning.
David Ebert is an Associate Professor in the School of Electrical and Computer Engineering at Purdue University. His
research interests are scientific, medical, and information visualization, computer graphics, animation, and procedural techniques.
Dr. Ebert performs research in volume rendering, illustrative visualization, realistic rendering, procedural texturing, modeling,
and animation, and modeling natural phenomena. Ebert has been very active in the graphics community, teaching courses,
presenting papers, serving on and co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive
Committee and serving as Editor in Chief for IEEE Transactions on Visualization and Computer Graphics. Ebert is also
editor and co-author of the seminal text on procedural techniques in computer graphics, Texturing and Modeling: A Procedural
Approach, whose third edition was published in December 2003.