Information
- Publication Type: Miscellaneous Publication
- Workgroup(s)/Project(s):
- Date: 2005
Download
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 VolumesFast 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.Additional Files and Images
Additional images and videos
Additional files
Weblinks
No further information available.BibTeX
@misc{Viola-vistutillustrativevis, title = "IEEE Visualization Tutorial on Illustrative Visualization", author = "Ivan Viola and 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/", }