Facial expression recognition under difficult conditions: a comprehensive study on edge directional texture patterns

DOI10.2478/AMCS-2018-0030zbMath1475.94017OpenAlexW2883750810WikidataQ129498011 ScholiaQ129498011MaRDI QIDQ1784075

Faisal Ahmed, Md. Hasanul Kabir

Publication date: 26 September 2018

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2018-0030

zbMATH Keywords

support vector machinecompressed DTPdirectional ternary patternfacial feature descriptortexture encoding

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• JAFFE
• Cohn-Kanade

Cites Work

• Unnamed Item
• A strategy learning model for autonomous agents based on classification
• Machine-learning in optimization of expensive black-box functions
• Recognizing facial action units using independent component analysis and support vector machine
• A support vector machine with the tabu search algorithm for freeway incident detection
• Rotation invariant texture classification using LBP variance (LBPV) with global matching
• Facial Recognition Using Multisensor Images Based on Localized Kernel Eigen Spaces
• Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
• Local Directional Number Pattern for Face Analysis: Face and Expression Recognition
• Computer Vision - ECCV 2004

This page was built for publication: Facial expression recognition under difficult conditions: a comprehensive study on edge directional texture patterns