使用二次误差度量简化带有颜色和纹理的表面

Michael Garland, Paul S. Heckbert
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引用次数: 575

摘要

有各种各样的应用领域,其中有需要简化复杂的多边形表面模型。这些模型通常具有诸如颜色、纹理和表面法线等材料属性。我们的表面简化算法,基于迭代边缘收缩和二次误差度量,可以快速产生高质量的模型近似值。我们提出了原始误差度量的自然扩展,可以考虑广泛的顶点属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplifying surfaces with color and texture using quadric error metrics
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.
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