DocumentCode
2555899
Title
Size preserving pattern mapping
Author
Kurzion, Yair ; Möller, Torsten ; Yagel, Roni
Author_Institution
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
fYear
1998
fDate
24-24 Oct. 1998
Firstpage
367
Lastpage
373
Abstract
We introduce a new approach for mapping texture on volumetric iso-surfaces and parametric surfaces. Our approach maps 2D images on surfaces while maintaining continuity and preserving the size of the mapped images on the models. Our approach is fully automatic. It eliminates the need for manual mapping of texture maps. We use the curvature of a surface at a point in order to continuously vary the scale of the mapped image. This makes our approach dependent only on local attributes of a point (position, normal and its derivatives) and independent of the global shape and topology of an object. Our method can map high resolution images on low resolution volumes, hence enhancing the visual appearance of rendered volume data. We describe a general framework useful for all surface types that have a C1 continuous normal. We demonstrate the new method for painting volume data and for mapping cavities on volume data.
Keywords
computational geometry; image texture; rendering (computer graphics); 2D image mapping; C1 continuous normal; cavity mapping; global shape; high resolution images; local attributes; low resolution volumes; parametric surfaces; rendered volume data; size preserving pattern mapping; surface types; texture mapping; texture maps; topology; volumetric iso-surfaces; Art; Image resolution; Information science; Painting; Paints; Rendering (computer graphics); Shape; Skin; Surface texture; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization '98. Proceedings
Conference_Location
Research Triangle Park, NC, USA
ISSN
1070-2385
Print_ISBN
0-8186-9176-X
Type
conf
DOI
10.1109/VISUAL.1998.745325
Filename
745325
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