DocumentCode
2555664
Title
Simplifying surfaces with color and texture using quadric error metrics
Author
Garland, Michael ; Heckbert, Paul S.
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1998
fDate
24-24 Oct. 1998
Firstpage
263
Lastpage
269
Abstract
There are a variety of application areas in which there is a need for simplifying complex polygonal surface models. These models often have material properties such as colors, textures, and surface normals. Our surface simplification algorithm, based on iterative edge contraction and quadric error metrics, can rapidly produce high quality approximations of such models. We present a natural extension of our original error metric that can account for a wide range of vertex attributes.
Keywords
computer graphics; image representation; image texture; iterative methods; color; complex polygonal surface models; discontinuity preservation; high quality approximations; iterative edge contraction; multiresolution modeling; quadric error metric; quadric error metrics; surface normals; surface simplification algorithm; texture; vertex attributes; Application software; Chromium; Computer errors; Computer graphics; Costs; Iterative algorithms; Material properties; Solid modeling; Surface texture; Visualization;
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.1998.745312
Filename
745312
Link To Document