TY - GEN
T1 - Multi-resolution local probabilistic approach for low resolution face recognition
AU - Huang, Shih Ming
AU - Chou, Yang Ting
AU - Wu, Szu Hua
AU - Yang, Jar-Ferr
PY - 2011/12/1
Y1 - 2011/12/1
N2 - The low resolution problem in face recognition happens in video surveillance application and degrades the recognition rate dramatically. To overcome the low resolution problem, we introduce a novel face recognition method consisting of extracting multiresolution observation vectors, learning local similarity and making final decision based on top J local probabilities. There are two key contributions. One is to extract multiresolution local characteristics, and the other one is to select the top J local similarities automatically. The benefits of our method are to create multiresolution features and to exclude insignificant local features during recognition phase so that our method could achieve high recognition rate with a low resolution face image. The experimental results show that the proposed method reveals better performance for low resolution face recognition.
AB - The low resolution problem in face recognition happens in video surveillance application and degrades the recognition rate dramatically. To overcome the low resolution problem, we introduce a novel face recognition method consisting of extracting multiresolution observation vectors, learning local similarity and making final decision based on top J local probabilities. There are two key contributions. One is to extract multiresolution local characteristics, and the other one is to select the top J local similarities automatically. The benefits of our method are to create multiresolution features and to exclude insignificant local features during recognition phase so that our method could achieve high recognition rate with a low resolution face image. The experimental results show that the proposed method reveals better performance for low resolution face recognition.
UR - http://www.scopus.com/inward/record.url?scp=84863034157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863034157&partnerID=8YFLogxK
U2 - 10.1109/ICBMI.2011.67
DO - 10.1109/ICBMI.2011.67
M3 - Conference contribution
AN - SCOPUS:84863034157
SN - 9780769546230
T3 - Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
SP - 220
EP - 223
BT - Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
T2 - 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Y2 - 14 December 2011 through 17 December 2011
ER -