Motion based Painterly Rendering

Previous painterly rendering techniques normally use image gradients for deciding stroke orientations. Image gradients are good for expressing object shapes, but difficult to express the flow or movements of objects. In real painting, the use of brush strokes corresponding to the actual movement of...

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Vydáno v:Computer graphics forum Ročník 28; číslo 4; s. 1207 - 1215
Hlavní autoři: Lee, H., Lee, C. H., Yoon, K.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.06.2009
Témata:
Algorithms
Computer animation
Computer graphics
Computer Graphics [I.3.3]: Picture/Image Generation Display algorithms
Computer science
Movement
Standard deviation
ISSN:0167-7055, 1467-8659
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Shrnutí:Previous painterly rendering techniques normally use image gradients for deciding stroke orientations. Image gradients are good for expressing object shapes, but difficult to express the flow or movements of objects. In real painting, the use of brush strokes corresponding to the actual movement of objects allows viewers to recognize objects' motion better and thus to have an impression of the dynamic. In this paper, we propose a novel painterly rendering algorithm to express dynamic objects based on their motion information. We first extract motion information (magnitude, direction, standard deviation) of a scene from a set of consecutive image sequences from the same view. Then the motion directions are used for determining stroke orientations in the regions with significant motions, and image gradients determine stroke orientations where little motion is observed. Our algorithm is useful for realistically and dynamically representing moving objects. We have applied our algorithm for rendering landscapes. We could segment a scene into dynamic and static regions, and express the actual movement of dynamic objects using motion based strokes.
Bibliografie:ark:/67375/WNG-62GMJ5LX-X
ArticleID:CGF1498
istex:D4CAE35FDD9867E73B1EEF874872D6FAEE25CB8D
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01498.x