基于DCT领域的2DPCA、DIAPCA和DIA2DPCA的人脸识别

Messaoud Bengherab, L. Mezai, F. Harizi, Mohamed. Cherie, A. Guessoum
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引用次数: 5

摘要

本文介绍了DCT领域中的2DPCA、DiaPCA和DiaPCA+2DPCA,用于人脸识别。将二维DCT变换作为预处理步骤,然后对原始图像二维DCT全局变换矩阵的左上角wtimesw块分别应用2DPCA、DiaPCA和DiaPCA+2DPCA。在ORL人脸数据库上进行的实验表明:在DCT域中使用2DPCA、DiaPCA和DiaPCA+2DPCA的识别率比直接使用这三种方法在原始像素图像上的识别率要高,训练时间和测试时间都有预期的大幅度提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face recognition based on 2DPCA, DIAPCA and DIA2DPCA in DCT domain
In this paper, we introduce 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain for the aim of face recognition. The 2D DCT transform has been used as a preprocessing step, then 2DPCA, DiaPCA and DiaPCA+2DPCA are applied to a wtimesw upper left block of the global 2D DCT transform matrix of the original images. The experiments which are performed on the ORL face database show that: in addition to the expected considerable gain in both the training and testing time, the recognition rate is higher using 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain than applying these three methods directly on the raw pixel images.
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