通过使用分析确定的形状因子来改进辐射解决方案

D. Baum, H. Rushmeier, J. Winget, G. Woodruff
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引用次数: 220

摘要

目前的辐射度方法依赖于几何因子的计算,即形状因子,它描述了环境中一对对表面之间的能量交换。形状因子生成的最有效的计算方法是一种称为半立方算法的数值技术。半立方体的使用是基于对所涉及表面几何形状的假设。首先,本文检查了当这些假设被违反时产生的错误和视觉伪影的类型。其次,本文表明,这些误差在渐进式细化辐射中比在最初提出的全矩阵辐射解中更频繁地出现。其次,介绍了一种新的确定形状因子的分析技术,该技术不受半立方算法误差的影响。最后,提出了一种混合递进改进方法,该方法利用新技术在违反半立方体假设时正确计算形状因子。
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Improving radiosity solutions through the use of analytically determined form-factors
Current radiosity methods rely on the calculation of geometric factors, known as form-factors, which describe energy exchange between pairs of surfaces in the environment. The most computationally efficient method for form-factor generation is a numerical technique known as the hemi-cube algorithm. Use of the hemi-cube is based on assumptions about the geometry of the surfaces involved. First, this paper examines the types of errors and visual artifacts that result when these assumptions are violated. Second, the paper shows that these errors occur more frequently in progressive refinement radiosity than in the originally proposed full matrix radiosity solution. Next, a new analytical technique for determining form-factors that is immune to the errors of the hemi-cube algorithm is introduced. Finally, a hybrid progressive refinement method that invokes the new technique to correctly compute form-factors when hemi-cube assumptions are violated is presented.
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