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Anisotropic diffusion algorithm based on weber local descriptor for illumination invariant face verification

机译：基于韦伯局部描述符的各向异性扩散算法用于光照不变人脸验证

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摘要

The anisotropic diffusion (AD) algorithm is well known for the illumination invariant feature extraction of face images. The performance of anisotropic diffusion algorithm depends on its conduction function and discontinuity measure. However, in the traditional anisotropic diffusion algorithm, the discontinuity measure usually adopts space gradient or in-homogeneity. Though they are good at describing the local variation of image well, they cannot reflect the variation relative to its background. The relative variations tend to be more able to reflect the variation's degree of local image. In this paper, we propose an improved anisotropic diffusion algorithm that uses Weber local descriptor (WLD), a powerful and robust local descriptor as the discontinuity measure. Then, we introduce a centre-symmetric logarithmic transformation to eliminate the effect of shadow boundary. Experiments are executed in our proposed illumination invariant face verification scheme on CMU PIE, CAS-PEAL databases and a self-built real-life face database. The results demonstrate that the proposed method outperforms some typical methods on the face databases with large illumination variations.
机译：各向异性扩散（AD）算法对于面部图像的照明不变特征提取是众所周知的。各向异性扩散算法的性能取决于其传导函数和不连续性度量。然而，在传统的各向异性扩散算法中，不连续性度量通常采用空间梯度或不均匀性。尽管它们擅长很好地描述图像的局部变化，但它们不能反映相对于背景的变化。相对变化倾向于更能够反映局部图像的变化程度。在本文中，我们提出了一种改进的各向异性扩散算法，该算法使用Weber局部描述符（WLD）（一种功能强大且鲁棒的局部描述符）作为不连续性度量。然后，我们引入了中心对称对数变换来消除阴影边界的影响。我们在CMU PIE，CAS-PEAL数据库和自建的真实人脸数据库上提出的照度不变人脸验证方案中进行了实验。结果表明，该方法在光照变化较大的人脸数据库上优于某些典型方法。

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  • 来源
    《Machine Vision and Applications》 |2014年第4期|997-1006|共10页
  • 作者

    Weihong Li; Ting Kuang; Weiguo Gong;

  • 作者单位

    Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China;

    Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China;

    Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Anisotropic diffusion; Weber local descriptor; Retinex; Face verification;

    机译：各向异性扩散Weber本地描述符;Retinex;人脸验证;

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