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Autor(en): 
  • David Zhang
  • Bob Zhang
  • Zhao Qijun
  • Facial Multi-characteristics And Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2019  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition / pattern recognition
    ISBN:  9789813234574 
    EAN-Code: 
    9789813234574 
    Verlag:  World Scientific Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Seiten:  428 
    Illustration:  farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications — facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features — are identified. This classification system is summarized in the diagram below: The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.

      



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