DocumentCode
3256938
Title
Paint by relaxation
Author
Hertzmann, Aaron
Author_Institution
New York Univ., NY, USA
fYear
2001
fDate
2001
Firstpage
47
Lastpage
54
Abstract
We use relaxation to produce painted imagery from images and video. An energy function is first specified; we then search for a painting with minimal energy. The appeal of this strategy is that, ideally, we need only specify what we want, not how to directly compute it. Because the energy function is very difficult to optimize, we use a relaxation algorithm combined with search heuristics. This formulation allows us to specify painting style by varying the relative weights of energy terms. The basic energy function yields an economical style that conveys an image with few strokes. This style produces greater temporal coherence for video than previous techniques. The system allows as fine user control as desired: the user may interactively change the painting style, specify variations of style over an image, and/or add specific strokes to the painting
Keywords
art; image processing; rendering (computer graphics); search problems; art; energy function; energy minimization; image processing; painted imagery; painting; relaxation algorithm; rendering; search heuristics; temporal coherence; video; Computer graphics; Control systems; Motion pictures; Optical filters; Painting; Paints; Power generation economics; Rendering (computer graphics); TV; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics International 2001. Proceedings
Conference_Location
Hong Kong
ISSN
1530-1052
Print_ISBN
0-7695-1007-8
Type
conf
DOI
10.1109/CGI.2001.934657
Filename
934657
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