Illustrative Rendering of Segmented Anatomical Data
Zean Salah, Dirk Bartz, Wolfgang Straßer.
Symposium on Simulation and Visualization, Magdeburg,
2005. [BibTeX]
Illustrative Rendering Techniques for Visualization: Future of Visualization or Just Another Technique?
Dirk Bartz, Hans Hagen, Victoria Interrante, Kwan-Liu Ma, Bernhard Preim.
Proceedings of the IEEE Visualization 2005 October 23-28, Minneapolis, MN, USA (VIS'05), pp. 715--718, Los Alamitos, CA, USA, IEEE Computer Society,
2005. [BibTeX]
Illustrative Visualization
Author(s): Ivan Viola, M. Eduard Gröller, Markus Hadwiger, Katja Bühler, Bernhard Preim, David Ebert.
In Collection: Eurographics 2005 - Tutorials, The Eurographics Association and The Image Synthesis Group, Ming Lin and Celine Loscos, pp. 187--329,
2005.
[BibTeX]
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 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.
Illustrative Visualization of 3D City Models
Jürgen Döllner, Henrik Buchholz, Marc Nienhaus, Florian Kirsch.
Proceedings of SPIE - Visualization and Data Analysis (VDA 2005), San Jose, CA, USA,
2005. [BibTeX]
Image Segmentation for Stylized Non-Photorealistic Rendering and Animation
Alexander Kolliopoulos.
University of Toronto, April,
2005. [BibTeX]
Image-Based Stereoscopic Stylization
Efstathios Stavrakis, Michael Bleyer, Danijela Markovic, Margrit Gelautz.
IEEE International Conference on Image Processing, Vol. III, pp. 5-8, Genova, Italy, September,
2005. [BibTeX]
[PDF] [403.05KB]
Image-Guided Fracture
David Mould.
Graphics Interface (GI'05),
2005. [BibTeX]
Improved Boundary and Silhouette Enhancement in Volume Illustration
Qianqian Han, Yang Gao, Jizhou Sun, Jiawan Zhang.
Proceedings of the International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), pp. 73--78, July,
2005. [BibTeX]
Improved line/edge detection and visual reconstruction
João Rodrigues, J.M.Hans du Buf.
13º Encontro Português de Computação Gráfica (13EPCG), pp. 179--184, Vila Real, Portugal, October 12-14,
2005. [BibTeX]
Interactive Material Replacement in Photographs
Steve Zelinka, Hui Fang, Michael Garland, John C. Hart.
Graphics Interface (GI'05),
2005. [BibTeX]