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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CSTGV78K47

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

Dr. Vakulabharanam Vijaya Kumar Anurag Group of Institutions

Gorti Satyanaraya Murty

Pullela S V V S R Kumar

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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.

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

Authors

Dr. Vakulabharanam Vijaya Kumar Anurag Group of Institutions

Gorti Satyanaraya Murty

Pullela S V V S R Kumar

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How to Cite

Dr. Vakulabharanam Vijaya Kumar. 2014. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 14 Issue F1
Pg. 1- 12

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Submission Received December 6, 2013
Accepted January 1, 2014
Published January 15, 2014

Keywords

Classification Facial expression recognition lbp transitions third order neighborhood lbp trapezoid patterns

Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. Vakulabharanam Vijaya Kumar, Gorti Satyanaraya Murty, Pullela S V V S R Kumar (PhD/Dr. count: 1)

View Count (all-time): 212

Total Views (Real + Logic): 9000

Total Downloads (simulated): 2255

Publish Date: 2014 03, Fri

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Total Views: 9000

Total Downloads: 2255

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