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http://dx.doi.org/10.9717/kmms.2016.19.6.1014

Face Image Analysis using Adaboost Learning and Non-Square Differential LBP  

Lim, Kil-Taek (Smart vision research section, Daegu-gyeongbuk research center, ETRI)
Won, Chulho (Dept. of Biomedical Engineering, Kyungil University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.6, 2016 , pp. 1014-1023 More about this Journal
Abstract
In this study, we presented a method for non-square Differential LBP operation that can well describe the micro pattern in the horizontal and vertical component. We proposed a way to represent a LBP operation with various direction components as well as the diagonal component. In order to verify the validity of the proposed operation, Differential LBP was investigated with respect to accuracy, sensitivity, and specificity for the classification of facial expression. In accuracy comparison proposed LBP operation obtains better results than Square LBP and LBP-CS operations. Also, Proposed Differential LBP gets better results than previous two methods in the sensitivity and specificity indicators 'Neutral', 'Happiness', 'Surprise', and 'Anger' and excellence Differential LBP was confirmed.
Keywords
Local Binary Pattern; Facial Expression; Adaboost Learning;
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