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Complete tutorial notes are available for download. High-quality version of notes for printing purposes is also available.

Schedule

Introduction
M. E. Gröller Introduction of Speakers and Initial Words 10 min
M. E. Gröller, K. Bühler Human Visual Perception and Illustrative Aspects of Art 25 min
D. Ebert Illustrative and Non-Photorealistig Rendering in Computer Graphics 20 min
Illustrative Techniques in Visualization
M. Hadwiger Illustrative Visualization of Isosurfaces and Volumes 30 min
I. Viola Smart Visibility in Visualization 30 min
Applications of Illustrative Techniques in Science and Medicine
M. Costa Sousa Visualization Tools for the Science Illustrators: Evaluations and Requirements 60 min
D. Ebert Illustration Inspired Flow Visualization 20 min
D. Ebert Interactive Medical Illustration System for Surgical Simulation and Education 30 min
D. Stredney Visualization: From Illustrator's Perspective 40 min
B. Preim Case Studies for Surgical Planning using Illustrative Visualization 60 min
Closing Remarks and Discussion
All Discussion 30 min

Further Links on Illustrative Visualization

Illustrative Visualization of Isosurfaces and Volumes
Fast Visualization of Object Contours by Non-Photorealistic Volume Rendering
Presentation slides, courtesy of Balazs Csebfalvi
Interactive Volume Rendering based on a "Bubble Model"
Presentation slides, courtesy of Balazs Csebfalvi
Two-Level Volume Rendering
Presentation slides, courtesy of Helwig Hauser
Expressive Visualization

Smart Visibility in Visualization
Hierarchical Streamarrows for the Visualization of Dynamical Systems
Presentation slides, courtesy of Helwig Hauser
The VesselGlyph: Focus & Context Visualization in CT-Angiography
Presentation slides, courtesy of Matus Straka
Importance-Driven Volume Rendering
Presentation slides
Importance-Driven Feature Enhancement in Volume Visualization
Importance-Driven Expressive Visualization
Illustrative Context-Preserving Volume Rendering
Illustrative Context-Preserving Exploration of Volume Data
Abstraction Techniques for Interactive Illustration
VolumeShop: An Interactive System for Direct Volume Illustration

Case Studies for Surgical Planning using Illustrative Visualization
NPR, Focussing and Emphasis in Medical Visualizations
Analysis and Exploration of 3D Visualization for Neck-Dissection Planning
Interactive Visualization for Neck-Dissection Planning
Combining Silhouettes, Surface, and Volume Rendering for Surgery Education and Planning

Abstract

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 scientic 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. A different smart way to provide information on the data is using exploded views or other types of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made. 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.

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BibTeX

@misc{Viola-vistutillustrativevis,
  title =      "IEEE Visualization Tutorial on Illustrative Visualization",
  author =     "Ivan Viola and Meister Eduard Gr\"{o}ller and Katja
               B\"{u}hler and Markus Hadwiger and Bernhard Preim and David
               Ebert and Mario Costa Sousa and Don Stredney",
  year =       "2005",
  abstract =   "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 scientic 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. A
               different smart way to provide information on the data is
               using exploded views or other types of deformation.
               Furthermore intuitive feature classification via 3D painting
               and manipulation with the classified data including label
               placement is presented. Discussed non-photorealistic and
               illustrative techniques from visualization and graphics are
               shown from the perspective as tools for illustrators from
               medicine, botany, archeology, and zoology. The limitations
               of existing NPR systems for science illustration are
               highlighted, and proposals for possible new directions are
               made. 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.",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/",
}