Efficient illumination normalization of facial image
Efficient illumination normalization of facial image
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DOI：
10.1016/0167-8655(96)00046-3
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发表时间：
1996-07
期刊：
影响因子：
--
通讯作者：
P. Phillips;Y. Vardi
中科院分区：
文献类型：
--
作者：
P. Phillips;Y. Vardi
本文提出了一种标准化面部图像中非线性照明变化的简单方法。面部像素通过经验概率分布进行建模，该概率分布是通过核密度估计来估计的。通过变换经验分布函数来对照明进行归一化。
This paper presents a simple method for normalizing non-linear illumination variations in facial images. Facial pixels are modelled by an empirical probability distribution, which is estimated by kernel density estimation. The illumination is normalized by transforming the empirical distribution function.