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A hidden Markov model-based approach for face detection and recognition.

机译：一种基于隐马尔可夫模型的人脸检测和识别方法。

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摘要

The use of hidden Markov models (HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces. The most significant facial features of a frontal face include the hair, forehead, eyes, nose and mouth. These features occur in a natural order, from top to bottom, even if the images undergo small rotations in the image plane, and/or rotations in the plane perpendicular to the image plane. Therefore, the image of a face may be modeled using a one-dimensional HMM by assigning each of these regions to a state. The observation vectors are obtained from the DCT or KLT coefficients.; A one-dimensional HMM may be generalized, to give it the appearance of a two-dimensional structure, by allowing each state in a one-dimensional HMM to be a HMM. In this way, the HMM consists of a set of super states, along with a set of embedded states. Therefore, this is referred to as an embedded HMM. The super states may then be used to model two-dimensional data along one direction, with the embedded HMM modeling the data along the other direction.; Both the standard HMM and the embedded HMM were tested for face recognition and detection. Compared to other methods, our proposed system offers a more flexible framework for face recognition and detection, and can be used more efficiently in scale invariant systems.
机译：对脸部使用隐马尔可夫模型（HMM）的原因是它们对缩放比例的变化和脸部结构的局部不变性。额头最重要的面部特征是头发，额头，眼睛，鼻子和嘴巴。即使图像在图像平面中经历很小的旋转和/或在垂直于图像平面的平面中发生旋转，这些特征也会以自然顺序从上到下出现。因此，可以通过将这些区域中的每一个分配给一个状态来使用一维HMM对面部图像进行建模。观察矢量是从DCT或KLT系数获得的。通过允许一维HMM中的每个状态为HMM，可以概括一维HMM，使其具有二维结构的外观。这样，HMM由一组超级状态以及一组嵌入式状态组成。因此，这被称为嵌入式HMM。然后，超级状态可以用于沿一个方向建模二维数据，而嵌入式HMM可以沿另一方向建模数据。标准HMM和嵌入式HMM都经过了面部识别和检测测试。与其他方法相比，我们提出的系统为人脸识别和检测提供了更灵活的框架，并且可以在尺度不变系统中更有效地使用。

著录项

  • 作者

    Nefian, Ara Victor.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.; Computer Science.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 p.2118
  • 总页数 158
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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