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

Stefano Berretti (1) , Mohamed Daoudi (2) , Pavan Turaga (3) , Anup Basu (4)

1 DSI - Dipartimento di Sistemi e Informatica
2 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 ASU - Arizona State University [Tempe]
4 University of Alberta

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.

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

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu. Representation, Analysis and Recognition of 3D Humans: A Survey. ACM Transactions on Multimedia Computing, Communications and Applications, In press. ⟨hal-01686193⟩