New technique for face recognition based on Singular Value Decomposition (SVD)

E. Barrah, Said Safi, A. Malaoui
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Abstract

In this paper, we describe a texture analysis which plays an important role in face analysis. Many studies have used texture image to characterize a face. Local Binary Pattern (LBP) coding is a state-of-the-art technique characterized by it's simplicity and efficiency. In the proposed method, we associate Local Binary Pattern with integral image representation, which permits to evaluate the sum of values over rectangular regions, in the Singular Value Decomposition (SVD) domain. Finally, the obtained results, using the proposed method, will be compared with those obtained from other local approaches.
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基于奇异值分解的人脸识别新技术
本文介绍了一种在人脸分析中起重要作用的纹理分析方法。许多研究使用纹理图像来描述人脸特征。局部二值模式(LBP)编码具有简单、高效等特点。在提出的方法中,我们将局部二值模式与积分图像表示相关联,允许在奇异值分解(SVD)域中计算矩形区域上的值和。最后,将采用该方法得到的结果与其他局部方法得到的结果进行比较。
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