Representation, Analysis, and Recognition ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Representation, Analysis, and Recognition of 3D Humans
Auteur(s) :
Berretti, Stefano [Auteur]
Università degli Studi di Firenze = University of Florence = Université de Florence [UniFI]
Daoudi, Mohamed [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Turaga, Pavan [Auteur]
Arizona State University [Tempe] [ASU]
Basu, Anup [Auteur]
University of Alberta
Università degli Studi di Firenze = University of Florence = Université de Florence [UniFI]
Daoudi, Mohamed [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Turaga, Pavan [Auteur]
Arizona State University [Tempe] [ASU]
Basu, Anup [Auteur]
University of Alberta
Titre de la revue :
ACM Transactions on Multimedia Computing, Communications and Applications
Pagination :
1 - 36
Éditeur :
Association for Computing Machinery
Date de publication :
2018-04-02
ISSN :
1551-6857
Mot(s)-clé(s) en anglais :
CCS Concepts: • General and reference → Surveys and overviews
• Computing methodologies → Computer vision
Computer vision tasks
Computer vision problems
3D imaging
Shape representations
3D humans
3D shape representation
3D face and body representation
3D face and body analysis and retrieval
• Computing methodologies → Computer vision
Computer vision tasks
Computer vision problems
3D imaging
Shape representations
3D humans
3D shape representation
3D face and body representation
3D face and body analysis and retrieval
Discipline(s) HAL :
Informatique [cs]
Résumé en anglais : [en]
Computer Vision and Multimedia solutions are now offering an increasing number of applications ready for use by end users in everyday life. Many of these applications are centered for detection, representation, and analysis ...
Lire la suite >Computer Vision and Multimedia solutions are now offering an increasing number of applications ready for use by end users in everyday life. Many of these applications are centered for detection, representation, and analysis of face and body. Methods based on 2D images and videos are the most widespread, but there is a recent trend that successfully extends the study to 3D human data as acquired by a new generation of 3D acquisition devices. Based on these premises, in this survey, we provide an overview on the newly designed techniques that exploit 3D human data and also prospect the most promising current and future research directions. In particular, we first propose a taxonomy of the representation methods, distinguishing between spatial and temporal modeling of the data. Then, we focus on the analysis and recognition of 3D humans from 3D static and dynamic data, considering many applications for body and face.Lire moins >
Lire la suite >Computer Vision and Multimedia solutions are now offering an increasing number of applications ready for use by end users in everyday life. Many of these applications are centered for detection, representation, and analysis of face and body. Methods based on 2D images and videos are the most widespread, but there is a recent trend that successfully extends the study to 3D human data as acquired by a new generation of 3D acquisition devices. Based on these premises, in this survey, we provide an overview on the newly designed techniques that exploit 3D human data and also prospect the most promising current and future research directions. In particular, we first propose a taxonomy of the representation methods, distinguishing between spatial and temporal modeling of the data. Then, we focus on the analysis and recognition of 3D humans from 3D static and dynamic data, considering many applications for body and face.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :