一种改进的基于小波的人脸图像光照归一化算法Improved wavelet-based illumination normalization algorithm for face recognition
盛剑会;范春年;
摘要(Abstract):
为了消除光照变化对人脸识别的影响,提出了一种新的基于小波的光照归一化算法。首先对人脸图像进行三级小波分解,获取低频和高频系数;接着对低频成分直方图均衡化,减弱光照的影响,同时对高频成分阈值去噪,再放大高频以增强图像边缘;最后进行逆小波变换,得到归一化后的人脸图像。在Yale B人脸库上的实验结果表明:本文方法可有效减弱光照变化对人脸识别的影响,显著地提高了人脸识别系统的识别率。
关键词(KeyWords): 人脸识别;光照;小波分析;光照归一化;直方图均衡化;去噪;朗伯光照模型;YaleB人脸库
基金项目(Foundation): 国家自然科学基金资助项目(60723003)
作者(Authors): 盛剑会;范春年;
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