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Face, Expression, and Iris Recognition Using Learning-based Approaches
Face, Expression, and Iris Recognition Using Learning-based Approaches
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Revision with unchanged content. This book investigates the problem of facial image analysis. Human faces contain a lot of information that is useful for many applications. For instance, the face and iris are important biometric features for security applications. Facial activity analysis such as face expression recognition is helpful for perceptual user interfaces. Developing new methods to improve recognition performance, in terms of face, iris, and facial expression, is a major concern in th…
  • Leidėjas:
  • ISBN-10: 3639433610
  • ISBN-13: 9783639433616
  • Formatas: 15.2 x 22.9 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

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Revision with unchanged content. This book investigates the problem of facial image analysis. Human faces contain a lot of information that is useful for many applications. For instance, the face and iris are important biometric features for security applications. Facial activity analysis such as face expression recognition is helpful for perceptual user interfaces. Developing new methods to improve recognition performance, in terms of face, iris, and facial expression, is a major concern in the presentation.

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  • Autorius: Guodong Guo
  • Leidėjas:
  • ISBN-10: 3639433610
  • ISBN-13: 9783639433616
  • Formatas: 15.2 x 22.9 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Revision with unchanged content. This book investigates the problem of facial image analysis. Human faces contain a lot of information that is useful for many applications. For instance, the face and iris are important biometric features for security applications. Facial activity analysis such as face expression recognition is helpful for perceptual user interfaces. Developing new methods to improve recognition performance, in terms of face, iris, and facial expression, is a major concern in the presentation.

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