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Sparsity adaptive matching pursuit for face recognition

机译：稀疏适应性匹配追求面部识别

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摘要

Sparse representation methods have exhibited promising performance for pattern recognition. However, these methods largely rely on the data sparsity available in advance and are usually sensitive to noise in the training samples. To solve these problems, this paper presents sparsity adaptive matching pursuit based sparse representation for face recognition (SAMPSR). This method adaptively explores the valid training samples that exactly represent the test via iterative updating. Next, the test samples are reconstructed via the valid training samples, and classification is performed subsequently. The two-phase strategy helps to improve the discriminating power of class probability distribution, and thus alleviates effect of the noise from the training samples to some extent and correctly performs classification. In addition, the method solves the sparse coefficient by comparing the residual between the test sample and the reconstructed sample instead of using the sparsity. A large number of experiments show that our method achieves promising performance. (C) 2020 Elsevier Inc. All rights reserved.
机译：稀疏的表示方法表现出对模式识别的有希望的性能。然而，这些方法在很大程度上依赖于预先提供的数据稀疏性，并且通常对训练样本中的噪声敏感。为了解决这些问题，本文介绍了基于稀疏的面部识别稀疏表示的稀疏性自适应匹配追求（SAMPSR）。该方法自适应地探索了通过迭代更新精确表示测试的有效培训样本。接下来，通过有效的训练样本重建测试样本，随后进行分类。两相策略有助于提高类概率分布的区分力，从而减轻了训练样本的噪声与某种程度上的影响，并正确执行分类。另外，该方法通过比较测试样品与重建样品之间的残留而不是使用稀疏性来解决稀疏系数。大量实验表明，我们的方法达到了有希望的性能。 （c）2020 Elsevier Inc.保留所有权利。

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  • 来源
    《Journal of visual communication & image representation》 |2020年第2期|102764.1-102764.10|共10页
  • 作者

    Wang Yuhong; Peng Yali; Liu Shigang; Li Jun; Wang Xili;

  • 作者单位

    Minist Educ Key Lab Modern Teaching Technol Xian 710062 Peoples R China|Engn Lab Teaching Informat Technol Shaanxi Prov Xian 710119 Peoples R China|Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China;

    Minist Educ Key Lab Modern Teaching Technol Xian 710062 Peoples R China|Engn Lab Teaching Informat Technol Shaanxi Prov Xian 710119 Peoples R China;

    Minist Educ Key Lab Modern Teaching Technol Xian 710062 Peoples R China|Engn Lab Teaching Informat Technol Shaanxi Prov Xian 710119 Peoples R China|Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China;

    Nanjing Normal Univ Sch Comp Sci & Technol Nanjing 210023 Peoples R China;

    Minist Educ Key Lab Modern Teaching Technol Xian 710062 Peoples R China|Engn Lab Teaching Informat Technol Shaanxi Prov Xian 710119 Peoples R China|Shaanxi Normal Univ Sch Comp Sci Xian 710119 Peoples R China;

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

    Face recognition; Sparse representation; Matching pursuit;

    机译：面部识别;稀疏表示;匹配追求;

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