摘要
提出了一种用于非均匀光照条件下人脸识别的光照补偿算法。该算法首先将人脸图像变换到对数域,并在对数域中计算2维小波包变换,通过舍弃部分子带图像中的系数来实现人脸图像的非均匀光照补偿。由于人脸光照补偿的目的是为了提高人脸识别性能,所以光照补偿的效果利用人脸识别率来表征。在YaleB人脸库中,与对数域离散余弦变换(DCT)光照补偿算法进行了比较,实验结果表明,本文方法的人脸识别平均误识率可以达到0.53%,比对数域DCT方法具有更好的性能。
A novel illumination compensation algorithm for face recognition under non-uniform illumination conditions was presented. Firstly, the face images were transformed from spatial domain, to logarithm domain, and the 2-dimensional wavelet packet transform was calculated. Secondly, coefficients of some sub-band images were discarded for face illumination compensation in logarithm domain. The effect of face illumination compensation was denoted by face recognition rate because the intention of illumination compensation was to improve the performance of face recognition. The proposed approach was compared with the Discrete Cosine Transform (DCT) method in logarithm domain on Yale B face database. The experimental results show that the average error rate of the proposed approach can reach 0.53%, which is superior to the DCT method for face illumination compensation in logarithm domain.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2008年第1期50-54,共5页
Opto-Electronic Engineering
基金
国家自然科学基金(60475007)
重庆市教委自然科学基金
重庆三峡学院自然科学基金资助项目
关键词
人脸识别
人脸光照补偿
小波包变换
对数域
face recognition
face illumination compensation
wavelet packet transform
logarithm domain