Paper Info
Title
Masked projection for 3D face recognition under occlusion
Abstract
With advances in sensor technology, three dimensional (3D) face has become an emerging biometric modality, preferred especially in high security applications. However, dealing with facial occlusions is a great challenge, which should be handled to enable applicability to fully automatic security systems. In this paper, we propose a technique to deal with occlusions at the classification stage: A masking strategy, which we call masked projection, is proposed to enable the use of subspace analysis techniques with incomplete data. Furthermore, a regional scheme suitable for occlusion handling is incorporated in classification to improve the overall results. Experimental results on two databases with realistic facial occlusions, namely, the Bosphorus and the UMB-DB, confirm that the masked subspace analysis offer an occlusion robust face recognition system.
Year
DOI
Venue
2014
10.1109/SIU.2014.6830587
Signal Processing and Communications Applications Conference
Keywords
DocType
ISSN
biometrics (access control),face recognition,stereo image processing,3D face recognition,Bosphorus,UMB-DB,automatic security systems,biometric,facial occlusions,masked projection,sensor technology,subspace analysis techniques,three dimensional face,3D face recognition,masked projection,occlusion
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Nese Alyüz1456.76
Berk Gökberk243916.48
lale akarun3120170.68