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.