Open Access iconOpen Access

ARTICLE

crossmark

4D Facial Expression Recognition Using Geometric Landmark-based Axes-angle Feature Extraction

Henry Ugochukwu Ukwu*, Kamil Yurtkan

Computer Engineering Department, Cyprus International University, Nicosia, North Cyprus, Mersin 10, 099010, Turkey

* Corresponding Author: Henry Ugochukwu Ukwu. Email: email

Intelligent Automation & Soft Computing 2022, 34(3), 1819-1838. https://doi.org/10.32604/iasc.2022.025695

Abstract

The primary goal of this paper is to describe a proposed framework for identifying human face expressions. A methodology has been proposed and developed to identify facial emotions using an axes-angular feature extracted from facial landmarks for 4D dynamic facial expression video data. The 4D facial expression recognition (FER) problem is modeled as an unbalanced problem using the full video sequence. The proposed dataset includes landmarks that are positioned to be fiducial features: around the brows, eyes, nose, cheeks, and lips. Following the initial facial landmark preprocessing, feature extraction is carried out. Input feature vectors from gamma axes and magnitudes in three-dimensional Euclidean space are constructed. This paper develops a new feature vector by concatenating the angle and magnitude features and compares them to a model created independently using angle features. In all three models, several filter-based feature selection techniques are used to estimate feature importance. The framework employs a multi-class support vector machine (SVM) on MATLAB, and the true positive rate (TPR) and average recognition rates (ARR) are used as performance metrics. In terms of average classification accuracy, the final results are compared to conventional state-of-the-art approaches. The results revealed a highly informative combined feature, demonstrating the efficiency of the proposed landmark-based strategy to classify facial expressions.

Keywords


Cite This Article

APA Style
Ukwu, H.U., Yurtkan, K. (2022). 4D facial expression recognition using geometric landmark-based axes-angle feature extraction. Intelligent Automation & Soft Computing, 34(3), 1819-1838. https://doi.org/10.32604/iasc.2022.025695
Vancouver Style
Ukwu HU, Yurtkan K. 4D facial expression recognition using geometric landmark-based axes-angle feature extraction. Intell Automat Soft Comput . 2022;34(3):1819-1838 https://doi.org/10.32604/iasc.2022.025695
IEEE Style
H.U. Ukwu and K. Yurtkan, "4D Facial Expression Recognition Using Geometric Landmark-based Axes-angle Feature Extraction," Intell. Automat. Soft Comput. , vol. 34, no. 3, pp. 1819-1838. 2022. https://doi.org/10.32604/iasc.2022.025695



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1878

    View

  • 545

    Download

  • 0

    Like

Share Link