DocumentCode :
2903147
Title :
Propagation of facial identities in a social network
Author :
Tao Wu ; Phillips, Jonathon ; Chellappa, Rama
Author_Institution :
Univ. of Maryland, College Park, MD, USA
fYear :
2013
fDate :
Sept. 29 2013-Oct. 2 2013
Firstpage :
1
Lastpage :
8
Abstract :
We address the problem of automated face recognition on a social network using a loopy belief propagation framework. The proposed approach propagates the identities of faces in photos across social graphs. We characterize performance in terms of structural properties of a social network. This is accomplished by conducting extensive simulations on synthetic networks. We propose a distance metric defined using face recognition results for detecting hidden connections. The result demonstrates that the constraints imposed by the social network have the potential to improve the performance of face recognition methods. The result also shows it is possible to discover hidden connections in a social network based on face recognition.
Keywords :
face recognition; social networking (online); automated face recognition; distance metric; facial identities propagation; hidden connection detection; loopy belief propagation framework; social graphs; social network structural properties; synthetic networks; Bayes methods; Belief propagation; Computer vision; Face; Face recognition; Markov processes; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
Conference_Location :
Arlington, VA
Type :
conf
DOI :
10.1109/BTAS.2013.6712757
Filename :
6712757
Link To Document :
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