3D Face Modeling, Analysis and Recognition
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Titre :
3D Face Modeling, Analysis and Recognition
Auteur(s) :
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Anuj, Srivastava [Auteur]
Department of Statistics [Tallahassee, FL]
Veltkamp, Remco [Auteur]
Department of Information and Computing Sciences [Utrecht]
FOX MIIRE [LIFL]
Anuj, Srivastava [Auteur]
Department of Statistics [Tallahassee, FL]
Veltkamp, Remco [Auteur]
Department of Information and Computing Sciences [Utrecht]
Éditeur :
Wiley
Date de publication :
2013-06-29
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
This book presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based ...
Lire la suite >This book presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. Covers a wide range of applications including biometrics, 3D animation, facial surgery, forensics, and video communications. Contains numerous exercises and algorithms.Lire moins >
Lire la suite >This book presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. Covers a wide range of applications including biometrics, 3D animation, facial surgery, forensics, and video communications. Contains numerous exercises and algorithms.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :