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A sub-block-based eigenphases algorithm with optimum sub-block size

机译:具有最佳子块大小的基于子块的本征相算法

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摘要

Several algorithms have been proposed for constrained face recognition applications. Among them the eigenphases algorithm and some variations of it using sub-block processing, appears to be desirable alternatives because they achieves high face recognition rate, under controlled conditions. However, their performance degrades when the face images under analysis present variations in the illumination conditions as well as partial occlusions. To overcome these problems, this paper derives the optimal sub-block size that allows improving the performance of previously proposed eigenphases algorithms. Theoretical and computer evaluation results show that, using the optimal block size, the identification performance of the eigenphases algorithm significantly improves, in comparison with the conventional one, when the face image presents different illumination conditions and partial occlusions respectively. The optimal sub-block size also allows achieving a very low false acceptance and false rejection rates, simultaneously, when performing identity verification tasks, which is not possible to obtain using the conventional approach; as well as to improve the performance of other sub-block-based eigenphases methods when rank tests are performed.
机译:已经提出了几种用于受限人脸识别应用的算法。其中本征相算法及其使用子块处理的某些变体似乎是理想的替代方法,因为它们在受控条件下可实现较高的面部识别率。但是,当所分析的面部图像呈现照明条件以及部分遮挡的变化时,其性能会下降。为了克服这些问题,本文推导了最佳子块大小,该子块大小可以改善以前提出的本征相算法的性能。理论和计算机评估结果表明,与传统算法相比,当人脸图像分别呈现不同的照明条件和部分遮挡时,与传统算法相比,使用最优的块尺寸,本征相算法的识别性能显着提高。最佳子块大小还允许在执行身份验证任务时同时实现非常低的错误接受和错误拒绝率,而这是使用传统方法无法获得的;以及在进行等级测试时提高其他基于子块的本征相方法的性能。

著录项

  • 来源
    《Knowledge-Based Systems》 |2013年第1期|415-426|共12页
  • 作者单位

    Mechanical and Electrical Engineering School, National Polytechnic Institute of Mexico, Av. Santa Ana 1000, 04430 Mexico D.F., Mexico;

    Mechanical and Electrical Engineering School, National Polytechnic Institute of Mexico, Av. Santa Ana 1000, 04430 Mexico D.F., Mexico;

    Mechanical and Electrical Engineering School, National Polytechnic Institute of Mexico, Av. Santa Ana 1000, 04430 Mexico D.F., Mexico;

    Mechanical and Electrical Engineering School, National Polytechnic Institute of Mexico, Av. Santa Ana 1000, 04430 Mexico D.F., Mexico;

    Mechanical and Electrical Engineering School, National Polytechnic Institute of Mexico, Av. Santa Ana 1000, 04430 Mexico D.F., Mexico;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    face recognition; eigenphases; sub-block processing; PCA; SVM; partial occlusion;

    机译:人脸识别;本征相;子块处理;PCA;支持向量机;部分闭塞;

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