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
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;
Conference_Titel :
Visualization '98. Proceedings
Conference_Location :
Research Triangle Park, NC, USA
Print_ISBN :
0-8186-9176-X
DOI :
10.1109/VISUAL.1998.745312