Classification of Facial Expressions based on Transitions Derived from Third Order Neighborhood LBP
Classification of Facial Expressions based on Transitions Derived from Third Order Neighborhood LBP
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Keywords

classification
facial expression recognition
lbp transitions
third order neighborhood lbp
trapezoid patterns

How to Cite

Dr. Vakulabharanam Vijaya Kumar, Gorti Satyanaraya Murty, & Pullela S V V S R Kumar. (2014). Classification of Facial Expressions based on Transitions Derived from Third Order Neighborhood LBP. Global Journal of Computer Science and Technology, 14(F1), 1–12. Retrieved from https://gjcst.com/index.php/gjcst/article/view/1207

Abstract

The present paper extended the LBP transitions derived from second-order neighbourhood on to third order neighbourhood LBP TN-LBP and derived transitions on Trapezoid patterns for facial expression classification The TN-LBP forms four Trapezoid Patterns TP i e top left bottom right and top right bottom left So far no researcher carried out work on classification problem based on transitions on third-order neighborhood LBP The present paper derived transitions on the two reciprocal Trapezoids of TN-LBP T-TN-LBP i e top left vs bottom right Each of these Trapezoids on TN-LBP will have five pixies and each of them will have 25 i e 32 patterns The present paper derived transitions on two symmetric T-TN-LBP Based on this facial expression recognition algorithm is built The proposed approach is compared with the existing methods
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