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Xiangwei Mou, Yongfu Song, Rijun Wang, Yuanbin Tang and Yu Xin
In the research of Facial Expression Recognition (FER), the inter-class of facial expression data is not evenly distributed, the features extracted by networks are insufficient, and the FER accuracy and speed are relatively low for practical applications...
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Oleg Kalyta, Olexander Barmak, Pavlo Radiuk and Iurii Krak
Can be used in video surveillance systems for large groups of people.
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Haibin Liao, Li Yuan, Mou Wu, Liangji Zhong, Guonian Jin and Neal Xiong
Facial recognition.
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
As people communicate with each other, they use gestures and facial expressions as a means to convey and understand emotional state. Non-verbal means of communication are essential to understanding, based on external clues to a person?s emotional state. ...
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Yingying Wang, Yibin Li, Yong Song and Xuewen Rong
As an important part of emotion research, facial expression recognition is a necessary requirement in human?machine interface. Generally, a face expression recognition system includes face detection, feature extraction, and feature classification. Althou...
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Yingchun Guo, Ruoyu Wei and Yi Liu
In this paper, we propose a bimodal 3D facial recognition method aimed at increasing the recognition rate and reducing the effect of illumination, pose, expression, ages, and occlusion on facial recognition. There are two features extracted from the mult...
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Yingchun Guo, Ruoyu Wei and Yi Liu
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Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos and Petros Daras
Recent technological developments have enabled computers to identify and categorize facial expressions to determine a person?s emotional state in an image or a video. This process, called ?Facial Expression Recognition (FER)?, has become one of the most ...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna and Pier Luigi Mazzeo
In several fields nowadays, automated emotion recognition has been shown to be a highly powerful tool. Mapping different facial expressions to their respective emotional states is the main objective of facial emotion recognition (FER). In this study, fac...
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Yang Lu, Shigang Wang and Wenting Zhao
In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps. First, all test and t...
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Yang Lu, Shigang Wang and Wenting Zhao
In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps. First, all test and t...
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Asuman Günay,Vasif V. Nabiyev
Pág. 108 - 115
This paper introduces a novel age estimation method using a new texture descriptor Weber Local Descriptor (WLD). This texture descriptor is analyzed in depth for age estimation problem. In the study, the multi-scale versions of holistic an...
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Ahmed J. Obaid and Hassanain K. Alrammahi
Recognizing facial expressions plays a crucial role in various multimedia applications, such as human?computer interactions and the functioning of autonomous vehicles. This paper introduces a hybrid feature extraction network model to bolster the discrim...
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Yuming Wang, Yu Li and Hua Zou
With the continuous development of deep learning, the face recognition field has also developed rapidly. However, with the massive popularity of COVID-19, face recognition with masks is a problem that is now about to be tackled in practice. In recognizin...
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Tjokorda Agung Budi Wirayuda, Rinaldi Munir and Achmad Imam Kistijantoro
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnicity ...
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Mei Bie, Huan Xu, Quanle Liu, Yan Gao, Kai Song and Xiangjiu Che
Facial expression recognition (FER) is an important field in computer vision with many practical applications. However, one of the challenges in FER is dealing with small sample data, where the number of samples available for training machine learning al...
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Shuang Chen, Zengcai Wang and Wenxin Chen
The effective detection of driver drowsiness is an important measure to prevent traffic accidents. Most existing drowsiness detection methods only use a single facial feature to identify fatigue status, ignoring the complex correlation between fatigue fe...
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Yingying Wang, Yibin Li, Yong Song and Xuewen Rong
In recent years, with the development of artificial intelligence and human?computer interaction, more attention has been paid to the recognition and analysis of facial expressions. Despite much great success, there are a lot of unsatisfying problems, bec...
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