Paper Info
Title
Enhanced skeleton and face 3D data for person re-identification from depth cameras
Abstract
•Person re-identification approach from depth cameras.•Cumulating 3D skeletal and 3D face models across temporal sequences.•Weak classification of 3D skeletal features.•3D face reconstruction and refinement from depth frames.•Weighted combination of 3D skeletal and 3D face features.
Year
DOI
Venue
2019
10.1016/j.cag.2019.01.003
Computers & Graphics
Keywords
Field
DocType
Person re-identification,Depth camera,Body skeleton,3D face,Boosting
Computer vision,Person recognition,Computer science,Redundancy (engineering),Artificial intelligence,RGB color model,Biometrics,Skeleton (computer programming),Discriminative model,Face (geometry)
Journal
Volume
ISSN
Citations 
79
0097-8493
2
PageRank 
References 
Authors
0.36
23
4
Name
Order
Citations
PageRank
Pietro Pala1123991.64
Lorenzo Seidenari238425.60
Stefano Berretti388052.33
Alberto Del Bimbo43777420.44