Representation, analysis, and recognition of 3D humans: A survey

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberA16
JournalACM Transactions on Multimedia Computing, Communications and Applications
Volume14
Issue number1s
DOIs
StatePublished - Feb 1 2018

Keywords

  • 3D face and body analysis and retrieval
  • 3D face and body representation
  • 3D humans
  • 3D shape representation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Representation, analysis, and recognition of 3D humans: A survey'. Together they form a unique fingerprint.

  • Cite this