Titre :

Representation, Analysis and Recognition of 3D Humans: A Survey

Auteur(s) :

Berretti, Stefano [Auteur]
Dipartimento di Sistemi e Informatica [DSI]
Daoudi, Mohamed [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
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

Éditeur :

Association for Computing Machinery

Date de publication :

2018

ISSN :

1551-6857

Mot(s)-clé(s) en anglais :

CCS Concepts: • General and reference → Surveys and overviews
Computer vision
3D imaging
Shape representations

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

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 of 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 of 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 :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL