Deep compositing using lie algebras

Tom Duff
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引用次数: 5

Abstract

Deep compositing is an important practical tool in creating digital imagery, but there has been little theoretical analysis of the underlying mathematical operators. Motivated by finding a simple formulation of the merging operation on OpenEXR-style deep images, we show that the Porter-Duff over function is the operator of a Lie group. In its corresponding Lie algebra, the splitting and mixing functions that OpenEXR deep merging requires have a particularly simple form. Working in the Lie algebra, we present a novel, simple proof of the uniqueness of the mixing function.The Lie group structure has many more applications, including new, correct resampling algorithms for volumetric images with alpha channels, and a deep image compression technique that outperforms that of OpenEXR.
利用李代数的深度合成
深度合成是创建数字图像的重要实用工具,但对其底层数学运算符的理论分析很少。通过寻找openexr风格的深度图像的合并操作的简单公式,我们证明了Porter-Duff over函数是李群的算子。在相应的李代数中,OpenEXR深度合并所需的拆分和混合函数具有特别简单的形式。在李代数中,我们给出了一种新的、简单的证明混合函数唯一性的方法。李群结构有更多的应用,包括针对具有alpha通道的体积图像的新的、正确的重采样算法,以及优于OpenEXR的深度图像压缩技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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