Multiscale Moment-Based Painterly Rendering
Diego Nehab, Luiz Velho.
Proc. of SIBGRAPI 02 (Brazilian Symposium on Computer Graphics and Image Processing),
2002. [BibTeX]
Non-Photorealistic Computer Graphics: Modeling, Rendering and Animation
Thomas Strothotte, Stefan Schlechtweg.
Morgan Kaufmann, Hardcover, 1, June 15,
2002. [BibTeX]
Non-Photorealistic Rendering from Stereo
Alberto Bartesaghi, Guillermo Sapiro.
Institute for Mathematics and its Applications (IMA), Vol. Preprint Series (1895), November,
2002. [BibTeX]
Non-Photorealistic Rendering in Chinese Painting of Animals
Jun-Wei Yeh, Ming Ouhyoung.
Journal of System Simulation, Vol. 14, No. 6, pp. 1220--1224 and pp.1262,
2002. [BibTeX]
Non-Photorealistic Shading in an Educational Game Engine
Bert Freudenberg, Maic Masuch.
Production Process of 3D Computer Graphics Applications - Structures, Roles and Tools, Snowbird, Utah, USA, June 1 - 4,
2002. [BibTeX]
Non-photorealistic Volume Rendering Using Stippling Techniques
Aidong Lu, Christopher Morris, David Ebert, Penny Rheingans, Charles Hansen.
Proceedings of IEEE Visualizaton 2002, pp. 211--218,
2002. [BibTeX]
Nonphotorealistic Visualisation of Multidimensional Datasets
Author(s): Laura Tateosian.
Master Thesis: Graduate Faculty of North Carolina State University,
2002.
[BibTeX]
Abstract:
The huge quantities of data that are being recorded annually need to be organized and analyzed.
The datasets often consist of a large number of elements, each associated with multiple
attributes. Our objective is to create effective, aesthetically appealing multidimensional visualizations.
By mapping element attributes to carefully chosen visual features, such visualizations
support exploration, encourage prolonged inspection, and facilitate discovery of unexpected
data characteristics and relationships.
We present a new visualization technique that uses “painted” brush strokes to represent
data elements of large multidimensional datasets. Each element’s attributes controls the visual
features of one or more brushstrokes. To pursue aesthetic appeal, we draw inspiration from the
Impressionist style of painting and apply rendering techniques from nonphotorealistic graphics.
We construct our mappings to harness the strengths of the human visual system. The resulting
displays are nonphotorealistic visualizations of the information in the datasets.
Studies confirm that existing guidelines based on human visual perception apply to our
painterly styles. Additional studies investigate the artistic appeal of our visualizations, along
with the emotional and visual features that influence aesthetic judgments. Finally, we use the
results of these studies to combine painterly styles to build a tool which creates visualizations
that are both effective and aesthetic and we apply our method to a real-world dataset.
Object-Based Image Editing
William A. Barrett, Alan S. Cheney.
Proc. of SIGGRAPH 02, pp. 777--784,
2002. [BibTeX]
Octree Textures
David Benson, Joel Davis.
Siggraph 02,
2002. [BibTeX]
On the Effects of Haptic Display in Brush and Ink Simulation for Chinese Painting and Calligraphy
Jeng-sheng Yeh, Ting-yu Lien, Ming Ouhyoung.
10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 439, Tsinghua University, Beijing, October 09 - 11,
2002. [BibTeX]