Unconstrained Face Recognition

Although face recognition has been actively studied over the past decade, the state-of-the-art recognition systems yield satisfactory performance only under controlled scenarios. Recognition accuracy degrades significantly when confronted with unconstrained situations. Examples of unconstrained cond...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhou, Shaohua Kevin (Autor), Chellappa, Rama (Autor), Zhao, Wenyi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:International Series on Biometrics ; 5
Temas:
Pattern recognition systems.
Computer vision.
Cryptography.
Data encryption (Computer science).
Data structures (Computer science).
Information theory.
User interfaces (Computer systems).
Human-computer interaction.
Multimedia systems.
Automated Pattern Recognition.
Computer Vision.
Cryptology.
Data Structures and Information Theory.
User Interfaces and Human Computer Interaction.
Multimedia Information Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fundamentals, Preliminaries and Reviews
  • Fundamentals
  • Preliminaries and Reviews
  • Face Recognition Under Variations
  • Symmetric Shape from Shading
  • Generalized Photometric Stereo
  • Illuminating Light Field
  • Facial Aging
  • Face Recognition Via Kernel Learning
  • Probabilistic Distances in Reproducing Kernel Hilbert Space
  • Matrix-Based Kernel Subspace Analysis
  • Face Tracking and Recognition from Videos
  • Adaptive Visual Tracking
  • Simultaneous Tracking and Recognition
  • Probabilistic Identity Characterization
  • Summary and Future Research Directions
  • Summary and Future Research Directions.

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