High-Quality Visualization and Filtering of Textures and Segmented Volume Data on Consumer Graphics Hardware
Markus Hadwiger.
VRVis Research Center and Institute of Computer Graphics and Algorithms, Vienna University of Technology,
2004. [BibTeX]
Higher Level Techniques for the Artistic Rendering of Images and Video
John P. Collomosse.
University of Bath, UK, May,
2004. [BibTeX]
How is presence in non-immersive, non-realistic virtual environments possible?
David Nunez.
Proceedings of the 3rd International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa, (Afrigraph 2004), pp. 83--86, Stellenbosch, South Africa, November 3-5,
2004. [BibTeX]
Human Facial Illustrations: Creation and Psychophysical Evaluation
Bruce Gooch, Erik Reinhard, Amy A. Gooch.
ACM Transactions on Graphics, Vol. 23, No. 1, pp. 27--44, January,
2004. [BibTeX]
I/O Brush: Drawing with Everyday Objects as Ink
Kimiko Ryokai, Stefan Marti, Hiroshi Ishii.
2004 conference on Human factors in computing systems, pp. 303--310,
2004. [BibTeX]
Illustrating Surfaces in Volume
Xiaoru Yuan, Baoquan Chen.
VisSym'04 Joint IEEE/EG Symposium on Visualization, Konstanz, Germany, May 19-21,
2004. [BibTeX]
Illustrating Terrains using Direction of Slope and Lighting
Kevin Buchin, Mario Costa Sousa, Jürgen Döllner, Faramarz Samavati, Maike Walther.
4th ICA Mountain Cartography Workshop, Vall de Núria, Catalunya, Spain, 30th September - 2nd. October 2004,
2004. [BibTeX]
Image and Video Based Painterly Animation
Author(s): James Hays, Irfan Essa.
Proceedings: 3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04), pp. 113--120, Annecy, France, June 07-09,
2004.
[BibTeX] [DOI] 
Abstract:
We present techniques for transforming images and videos into
painterly animations depicting different artistic styles. Our techniques
rely on image and video analysis to compute appearance
and motion properties. We also determine and apply motion information
from different (user-specified) sources to static and moving
images. These properties that encode spatio-temporal variations
are then used to render (or paint) effects of selected styles
to generate images and videos with a painted look. Painterly animations
are generated using a mesh of brush stroke objects with
dynamic spatio-temporal properties. Styles govern the behavior of
these brush strokes as well as their rendering to a virtual canvas.
We present methods for modifying the properties of these brush
strokes according to the input images, videos, or motions. Brush
stroke color, length, orientation, opacity, and motion are determined
and the brush strokes are regenerated to fill the canvas as the video
changes. All brush stroke properties are temporally constrained to
guarantee temporally coherent non-photorealistic animations.
Image Fusion for Context Enhancement and Video Surrealism
Ramesh Raskar, Andrian Ilie, Jingyi Yu.
3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04),
2004. [BibTeX]
Image-based processing of game method streams and depth-buffered video for non-photorealistic rendering
Olivier Giroux, Alexandre Denault.
2004. [BibTeX]