An infrared human face recognition method based on 2DPCA
LIU Xia, Li Ting-jun
Author NameAffiliation
LIU Xia Automation Institute, Harbin University of Science and Technology, Harbin 150080, China, liuxia@hrbust.edu.cn
Li Ting-jun Automation Institute, Harbin University of Science and Technology, Harbin 150080, China, liuxia@hrbust.edu.cn
Abstract:
Aimed at the problems of infrared image recognition under varying illumination, face disguise, etc., we bring out an infrared human face recognition algorithm based on 2DPCA. The proposed algorithm can work out the covariance matrix of the training sample easily and directly; at the same time, it costs less time to work out the eigenvector. Relevant experiments are carried out, and the result indicates that compared with the traditional recognition algorithm, the proposed recognition method is swift and has a good adaptability to the changes of human face posture.
Key words: infrared image face recognition feature sub-space K-L transformation
DOI：10.11916/j.issn.1005-9113.2009.02.024
Clc Number:TP273
Fund:
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An infrared human face recognition method based on 2DPCA
本站小编 哈尔滨工业大学/2019-10-23
相关话题/An infrared human face recognition
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