用于人脸识别的可见光和热成像人脸图像小波系数融合——一项比较研究
计算机视觉与模式识别
2010-07-06 v1
摘要
在本文中，我们提出了一项关于使用不同小波变换融合可见光和热成像图像的比较研究。这里，分别计算来自可见光和热成像图像的离散小波变换系数并进行组合。然后，进行逆离散小波变换以获得融合后的人脸图像。使用了Haar和Daubechies (db2) 小波变换来比较识别结果。实验使用了IRIS热成像/可见光人脸数据库。使用Haar和Daubechies小波的实验结果表明，本文提出的方法在许多情况下达到了100%的最大成功率。
引用
@article{arxiv.1007.0626,
title = {Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study},
author = {M. K. Bhowmik and Debotosh Bhattacharjee and M. Nasipuri and D. K. Basu and M. Kundu},
journal= {arXiv preprint arXiv:1007.0626},
year = {2010}
}
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