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一种人脸标准光照图像的线性重构方法

, PP. 656-663

Keywords: 标准光照重构,三维人脸模型,光照分类,人脸识别

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Abstract:

基于相同光照下不同人脸图像与其标准光照图像之间的稳定关系,文中提出一种人脸标准光照图像重构方法。首先,为消除人脸结构影响,引入人脸三维变形,实现图像像素级对齐。其次,根据图像明暗变化,给出一种基于图像分块的光照分类方法。最后,对于形状对齐后的不同光照类别样本,训练出基于子空间的线性重构模型。该方法有效避免传统预处理方法带来的重构图像纹理丢失和子空间方法引起的图像失真。ExtendedYaleB数据库上实验表明,该方法对图像真实度与人脸识别率的提升,也验证文中人脸对齐和光照分类方法的有效性。

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