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Decision optimization for face recognition based on an alternate correlation plane quantification metric

机译:基于替代相关平面量化指标的人脸识别决策优化

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摘要

We consider a new approach for enhancing the discrimination performance of the VanderLugt correlator. Instead of trying to optimize the correlation filter, or propose a new decision correlation peak detection criterion, we propose herein to denoise the correlation plane before applying the peak-to-correlation energy (PCE) criterion. For that purpose, we use a linear functional model to express a given correlation plane as a linear combination of the correlation peak, noise, and residual components. The correlation peak is modeled using an orthonormalized function and the singular value decomposition method. A set of training correlation planes is then selected to create the correlation noise components. Finally, an optimized correlation plane is reconstructed while discarding the noise components. Independently of the filter correlation used, this technique denoises the correlation plane by lowering the correlation noise magnitude in case of true correlation and decreases the false alarm rate when the target image does not belong to the desired class. Test results are presented, using a composite filter and a face recognition application, to verify the effectiveness of the proposed technique.
机译:我们考虑了一种提高VanderLugt相关器判别性能的新方法。本文没有试图优化相关滤波器,也没有提出新的决策相关峰值检测准则,而是建议在应用峰相关能量(PCE)准则之前对相关平面进行去噪。为此,我们使用线性函数模型将给定的相关平面表示为相关峰、噪声和残差分量的线性组合。使用正交归一化函数和奇异值分解方法对相关峰进行建模。然后选择一组训练相关平面来创建相关噪声分量。最后,在剔除噪声分量的同时,重建优化的相关平面。与所使用的滤波器相关性无关,该技术通过降低相关噪声幅度(在真相关的情况下)对相关平面进行去噪,并在目标图像不属于所需类别时降低误报率。使用复合滤波器和人脸识别应用程序提供测试结果,以验证所提技术的有效性。

著录项

  • 来源
    《Optics Letters》 |2012年第9期|1562-1564|共3页
  • 作者单位

    ISEN Brest, Departement Optoelectronique, L@bISEN, 20 rue Cuirasse Bretagne, CS 42807, 29228 Brest Cedex 2, France;

    Universite Europeenne de Bretagne, Universite de Brest, Lab-STICC, CS 93837, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France;

    Department of Electrical and Computer Engineering University of South Alabama, 6001 USA South Dr., Mobile, AL 36688-0002, USA;

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  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 计量学;
  • 关键词

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