An over-complete sparse representation approach for face recognition under partial occlusion

2011 ◽  
Author(s):  
Junying Gan ◽  
Juan Xiao
Keyword(s):  
Face Recognition ◽  
Sparse Representation ◽  
Partial Occlusion

scholarly journals A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Zhao Jian ◽  
Huang Luxi ◽  
Jia Jian ◽  
Xie Yu
Keyword(s):  
Face Recognition ◽  
Sparse Representation ◽  
Recognition Performance ◽  
Stopping Rules ◽  
Partial Occlusion ◽  
Slow Response ◽  
Robust Version ◽  
Robust Face Recognition

A relatively fast pursuit algorithm in face recognition is proposed, compared to existing pursuit algorithms. More stopping rules have been put forward to solve the problem of slow response of OMP, which can fully develop the superiority of pursuit algorithm—avoiding to process useless information in the training dictionary. For the test samples that are affected by partial occlusion, corruption, and facial disguise, recognition rates of most algorithms fall rapidly. The robust version of this algorithm can identify these samples automatically and process them accordingly. The recognition rates on ORL database, Yale database, and FERET database are 95.5%, 93.87%, and 92.29%, respectively. The recognition performance under various levels of occlusion and corruption is also experimentally proved to be significantly enhanced.

Double layers sparse representation for occluded face recognition

Optik ◽  
2015 ◽  
Vol 126 (21) ◽  
pp. 3016-3019 ◽  
Author(s):  
Shuhuan Zhao ◽  
Zheng-ping Hu
Keyword(s):  
Face Recognition ◽  
Sparse Representation ◽  
Double Layers

A novel sparse representation method based on virtual samples for face recognition

2012 ◽  
Vol 24 (3-4) ◽  
pp. 513-519 ◽  
Author(s):  
Deyan Tang ◽  
Ningbo Zhu ◽  
Fu Yu ◽  
Wei Chen ◽  
Ting Tang
Keyword(s):  
Face Recognition ◽  
Sparse Representation ◽  
Virtual Samples ◽  
Representation Method
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