Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition
Author:
Affiliation:
1. Kyungpook National University, School of Computer Science and Engineering, Virtual Reality Lab, Daeg
2. Quaid-i-Azam University, COMSIP Lab, Department of Electronics, Islamabad
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference45 articles.
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