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Advances in Face Image Analysis: Theory and Applications

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Title: Advances in Face Image Analysis: Theory and Applications
Description: Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.
Authors: Fadi, Dornaika
Resource Type: eBook.
Subjects: Human face recognition (Computer science)
Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Image Processing
Database: eBook Collection (EBSCOhost)
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  Data: Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.
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      – Code: 006.37
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Human face recognition (Computer science)
        Type: general
    Titles:
      – TitleFull: Advances in Face Image Analysis: Theory and Applications
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            NameFull: Fadi, Dornaika
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 10
              M: 10
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9781681081113
            – Type: isbn-electronic
              Value: 9781681081106
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            – TitleFull: Advances in Face Image Analysis: Theory and Applications
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