Fast backface culling using normal masks

Hansong Zhang, K. E. Hoff
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引用次数: 99

Abstract

This paper presents a novel method for fast and efficient backface culling: we reduce the backface test to one logical operation per polygon while requiring only two bytes extra storage per polygon. The normal mask is introduced, where each bit is associated with a cluster of normals in a normal-space partitioning. A polygon's normal is approximated by the cluster of normals in which it falls; the cluster's normal mask is stored with the polygon in a preprocessing step. Although conceptually the normal masks require as many bits as the number of clusters, we observe that only two bytes are actually necessary. For each frame (and for each viewing volume), we calculate the backface mask by ORing the normals masks of all normal clusters that are backfacing. The backface test finally reduces to a single logical AND operation between the polygon's normal mask and the backface mask. CR
使用普通蒙版快速剔除背面
本文提出了一种新的快速有效的背面剔除方法:我们将背面测试减少到每个多边形一个逻辑操作,同时每个多边形只需要两个字节的额外存储空间。引入了法线掩码,其中每个比特与一个在法向空间分区中的法线簇相关联。多边形的法线是由它所属的一组法线近似的;在预处理步骤中,集群的法向掩码与多边形一起存储。虽然从概念上讲,普通掩码需要与簇数量一样多的位,但我们观察到实际上只需要两个字节。对于每一帧(以及每个观看量),我们通过对所有面向背面的法线簇的法线掩码进行ORing来计算背板掩码。背板测试最终简化为多边形的法线掩码与背板掩码之间的单一逻辑与操作。CR
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