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SVD用于人脸识别存在的问题及解决方法

DOI: 10.11834/jig.2006012312

Keywords: 奇异值向量,人脸识别

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Abstract:

通过对人脸图像奇异值的分析,证实了图像奇异值是图像在特定基空间分解得到的,这个基空间是由图像本身决定的。进一步研究发现。导致基于奇异值向量人脸识别算法识别率低的根本原因是:不同人脸图像对应的奇异值向量所在的基空间不一致、奇异值向量与人脸图像之问并不存在一一对应关系、奇异值向量具有不可分割性。最后提出了类估计基空间识别算法。在ORL、ORL-NWPU1以及ORL―NWPU2数据库进行仿真,实验结果证实了分析和所提算法的正确性。

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