Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm
- 10.2991/ijcis.d.190801.001How to use a DOI?
- Adaptive homomorphic filtering; Micro-facial expression; Micro-facial expression based deep-rooted learning; center loss function; CNN; MAE
Facial expressions are important cues to observe human emotions. Facial expression recognition has attracted many researchers for years, but it is still a challenging topic since expression features vary greatly with the head poses, environments, and variations in the different persons involved. In this work, three major steps are involved to improve the performance of micro-facial expression recognition. First, an Adaptive Homomorphic Filtering is used for face detection and rotation rectification processes. Secondly, Micro-facial features were used to extract the appearance variations of a testing image-spatial analysis. The features of motion information are used for expression recognition in a sequence of facial images. An effective Micro-Facial Expression Based Deep-Rooted Learning (MFEDRL) classifier is proposed in this paper to better recognize spontaneous micro-expressions by learning parameters on the optimal features. This proposed method includes two loss functions such as cross entropy loss function and center loss function. Then the performance of the algorithm will be evaluated using recognition rate and false measures. Simulation results show that the predictive performance of the proposed method outperforms that of the existing classifiers such as Convolutional Neural Network (CNN), Deep Neural Network (DNN), Artificial Neural Network (ANN), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN) in terms of accuracy and Mean Absolute Error (MAE).
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - S. D. Lalitha AU - K. K. Thyagharajan PY - 2019 DA - 2019/08/14 TI - Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm JO - International Journal of Computational Intelligence Systems SP - 903 EP - 913 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.190801.001 DO - 10.2991/ijcis.d.190801.001 ID - Lalitha2019 ER -