Interactive Stroke-Based NPR using Hand Postures on Large Displays
Description:
We explore the use of hand postures to interact with stroke-based rendering (SBR) on touch-sensitive large displays. In contrast to traditional WIMP interfaces, we allow people to directly engage with and influence a rendering. Our system allows the creation of new stroke primitives as well as provides mechanisms to distribute and then manipulate them on the canvas. We offer a set of natural mappings from hand postures to rendering parameterizations. The resulting system allows an intuitive exploration of SBR without the need for traditional desktop interfaces.
Paper download:
(3.7 MB)
Videos:
Video explaining the technique:
Download the video as AVI-MPEG4 (12MB) or watch it on YouTube.
Trailer, presented as fast-forward at Eurographics 2008:
Download the video as AVI-MPEG4 (5.7MB) or watch it on YouTube.
Demo:
You can download a demo of the Hand-Posture based Interactive Stroke-Based NPR (Win32, 9.1 MB) and try it out for yourself. To be fully functional, however, the demo requires Smart DViT hardware.
Poster (for short paper at EG 2008):
Cross-References:
This technique is based on a buffer framework for supporting responsive interaction and was later used for interacting with glyph-based 2D vector data visualizations.
Main Reference:
| Jens Grubert, Sheelagh Carpendale, and Tobias Isenberg (2008) Interactive Stroke-Based NPR using Hand Postures on Large Displays. In Katerina Mania and Erik Reinhard, eds., Short Papers at Eurographics 2008 (EG 2008, April 14–18, 2008, Crete, Greece). Goslar, Germany. Eurographics Association, pages 279–282, 2008. Short paper. | pdf video url url | ||
References:
| Jens Grubert (2008) Interacting with Stroke-Based Non-Photorealistic Rendering on Large Displays. Honor's thesis, Department of Computer Science, University of Magdeburg, February 2008. | pdf url | ||
| Jens Grubert, Sheelagh Carpendale, and Tobias Isenberg (2007) Interactive Stroke-Based NPR using Hand Postures on Large Displays. Technical report 2007-883-35, Department of Computer Science, University of Calgary, December 2007. Also see the short paper at Eurographics 2008. | doi video url url | ||
This work was done at the Innovis group at the Interactions Lab of the University of Calgary, Canada.

































