基于组件的人脸验证的光度归一化

J. Short, J. Kittler, K. Messer
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引用次数: 11

摘要

作为作者在人脸验证的光度归一化领域的先前工作的扩展,我们将这些算法应用于基于组件的框架中。特别是,我们研究了当使用较小的图像补丁时,对归一化复杂性的要求是如何变化的。我们表明,对于较小的图像补丁,更简单的归一化可以胜过更复杂的方法。此外,我们还表明,一种将更简单的归一化应用于许多较小的人脸图像组件然后融合的方法,优于应用于完整人脸图像的更复杂的方法
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Photometric normalisation for component-based face verification
As an extension to prior work by the authors in the area of photometric normalisation for face verification, we apply these algorithms in a component-based framework. In particular, we investigate how the requirement for complexity of the normalisation changes when smaller image patches are used. We show that for smaller image patches, a simpler normalisation can out-perform a more complicated method. In addition, we show that a method that applies a simpler normalisation to a number of smaller face image components that are then fused, out-performs a more complicated method applied to the full face image
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