Paper Info
Title
Relaxed local ternary pattern for face recognition
Abstract
Local binary pattern (LBP) is sensitive to noise. Local ternary pattern (LTP) partially solves this problem by encoding the small pixel difference into a third state. The small pixel difference may be easily overwhelmed by noise. Thus, it is difficult to precisely determine its sign and magnitude. In this paper, we propose the concept of uncertain state to encode the small pixel difference. We do not care its sign and magnitude, and encode it as both 0 and 1 with equal probability. The proposed Relaxed LTP is tested on the CMU-PIE database, the extended Yale B database and the O2FN mobile face database. Superior performance is demonstrated compared with LBP and LTP.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738759
ICIP
Keywords
Field
DocType
equal probability,image coding,face recognition,relaxed ltp,local binary pattern,relaxed local ternary pattern,uncertain state,o2fn mobile face database,ltp,extended yale b database,lbp,local ternary pattern,cmu-pie database,probability,small pixel difference encoding
ENCODE,Magnitude (mathematics),Facial recognition system,Pattern recognition,Computer science,Local binary patterns,Image coding,Ternary operation,Artificial intelligence,Pixel,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1522-4880
19
0.80
References 
Authors
11
3
Name
Order
Citations
PageRank
Jianfeng Ren129116.97
Xudong Jiang21885117.85
Junsong Yuan33703187.68