Results 21 to 30 of about 51,431 (306)
Facial expression recognition on a quantum computer [PDF]
Quantum Machine Intelligence, 2021 AbstractWe address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach. In order to define an efficient classifier for a given dataset, our approach substantially exploits quantum interference.
Riccardo Mengoni +2 more
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NAO-Facial-Expression-Recognition [PDF]
, 2021 This project includes a CNN-based FER model designed for real-world facial expression recognition. The “main.py” script allows you to integrate the model into NAO robot image’ streaming, under its Windows Python SDK (Naoqi).
Chiara Filippini (11480128)
core +1 more source
Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
doaj +1 more source
Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Applied Sciences, 2022 Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination ...
Jin-Chul Kim +4 more
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RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]
Jisuanji gongcheng, 2023 Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
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Evolutionary Facial Expression Recognition [PDF]
Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020 Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose a novel method based on evolutionary algorithms, that deals with both challenges by massively reducing the number of trainable parameters, whilst simultaneously retaining ...
Emmanuel Dufourq, Bruce A. Bassett
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Facial Expression Recognition: A Survey [PDF]
Symmetry, 2019 Facial Expression Recognition (FER), as the primary processing method for non-verbal intentions, is an important and promising field of computer vision and artificial intelligence, and one of the subject areas of symmetry. This survey is a comprehensive and structured overview of recent advances in FER. We first categorise the existing FER methods into
Yunxin Huang +3 more
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IEEE Access, 2020 The recognition rate of person-independent facial expression is generally not high, which limits the practical application of facial expression recognition.
Ying He, Shuxin Chen
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IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
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A facial expression recognition method based on face texture feature fusion
Journal of Hebei University of Science and Technology, 2021 Aiming at facial expression recognition, the recognition rate is not high due to noise and occlusion. A hybrid approach of facial expression has been presented by combining local and global features.
Tingting GAO, Hang LI, Shoulin YIN
doaj +1 more source