3D Face Modeling, Analysis and Recognition
Document type :
Ouvrage (y compris édition critique et traduction)
Title :
3D Face Modeling, Analysis and Recognition
Author(s) :
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Anuj, Srivastava [Auteur]
Department of Statistics [Tallahassee, FL]
Veltkamp, Remco [Auteur]
Department of Information and Computing Sciences [Utrecht]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Anuj, Srivastava [Auteur]
Department of Statistics [Tallahassee, FL]
Veltkamp, Remco [Auteur]
Department of Information and Computing Sciences [Utrecht]
Publisher :
Wiley
Publication date :
2013-06-29
Number of pages :
232
ISBN :
978-0-470-66641-8
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Collections :
Source :