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
Link To Document :
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