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A Improved Block 2DPCA Face Recognition Algorithm with L1-Norm

机译:具有L1-Norm的改进的2DPCA块人脸识别算法

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摘要

Most of the existing Block 2DPCA algorithms are based on Frobenius norm, which makes them sensitive to outliers. In this paper, we propose a new improved Block 2DPCA algorithm with L1-norm, which is robust to outliers. The experimental results of FERET face database indicated that the recognition performance of new algorithm is superior to Block 2DPCA, more robust than Block 2DPCA.
机译:现有的大多数Block 2DPCA算法都基于Frobenius规范,这使它们对异常值敏感。在本文中,我们提出了一种新的改进的具有L1-范数的Block 2DPCA算法,该算法对异常值具有鲁棒性。 FERET人脸数据库的实验结果表明,新算法的识别性能优于Block 2DPCA,比Block 2DPCA更强健。

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