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    Unconstrained Face Recognition

Unconstrained Face Recognition

Shaohua Kevin Zhou, Rama Chellappa, Wenyi Zhao
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      Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
      Format: CONTRIBUTORS: Shaohua Kevin Zhou, Rama Chellappa, Wenyi Zhao EAN: 9780387264073 COUNTRY: United States PAGES: WEIGHT: 1200 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2005-11-30 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Information Theory, COMPUTERS / Security / General, COMPUTERS / User Interfaces WIDTH: 155 cm SPINE:

      Book Themes:

      Computer vision

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      Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
      Format: CONTRIBUTORS: Shaohua Kevin Zhou, Rama Chellappa, Wenyi Zhao EAN: 9780387264073 COUNTRY: United States PAGES: WEIGHT: 1200 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2005-11-30 CITY: GENRE: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Information Theory, COMPUTERS / Security / General, COMPUTERS / User Interfaces WIDTH: 155 cm SPINE:

      Book Themes:

      Computer vision

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