Adaptive precision in texture mapping

A. Glassner
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引用次数: 55

Abstract

We introduce an adaptive, iterative technique for obtaining texture samples of arbitrary precision when synthesizing a computer-generated image. The technique is an improvement on the sum table texturing method. To motivate the technique we analyze the error properties of the sum-table method. Based on that analysis we propose using a combination of tables independently or together to obtain a better estimate, and analyze the error properties of such methods. We then propose a new technique for obtaining texture samples whose accuracy is a function of the texture and the image. As part of this technique we propose the use of an auxiliary table which contains local estimates of the texture variance. We show how the iteration of a given sample may be controlled by values from this table. We then analyze the error in this method, and present images which demonstrate the improvement.
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纹理映射的自适应精度
我们介绍了一种自适应迭代技术,用于在合成计算机生成的图像时获得任意精度的纹理样本。该技术是对和表纹理法的改进。为了激励这一技术,我们分析了和表法的误差特性。在此基础上,我们提出了单独或一起使用表的组合来获得更好的估计,并分析了这些方法的误差特性。然后,我们提出了一种获取纹理样本的新技术,其精度是纹理和图像的函数。作为该技术的一部分,我们建议使用包含纹理方差局部估计的辅助表。我们展示了给定样本的迭代是如何由该表中的值控制的。然后分析了该方法的误差,并给出了改进后的图像。
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