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Analyzing Facial Behavioral Features from Videos

2011
Face analysis from videos can be approached using two different strategies, depending on whether the temporal information is used or not. The most straightforward strategy applies still image based techniques to some selected (or all) frames and then fuses the results over the sequence. In contrast, an emerging strategy consists of encoding both facial
openaire   +1 more source

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild

IEEE Transactions on Image Processing, 2021
Zengqun Zhao, Dong Liu, Shanmin Wang
exaly  

Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Xianye Ben   +2 more
exaly  

Facial Expression Recognition of Industrial Internet of Things by Parallel Neural Networks Combining Texture Features

IEEE Transactions on Industrial Informatics, 2021
Zhenghao Xi, Jieyu Chen, Xiu Kan
exaly  

Coarse facial features

2005
Helen V. Firth   +2 more
openaire   +1 more source

Facial Expression Recognition Using Hybrid Features of Pixel and Geometry

IEEE Access, 2021
Chang Liu, Kaoru Hirota, Junjie
exaly  

Adaptive Multilayer Perceptual Attention Network for Facial Expression Recognition

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Hanwei Liu, Huiling Cai, 蔺倾程
exaly  

Recognizing action units for facial expression analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
Ying-Li Tian   +2 more
exaly  

Features versus Context: An Approach for Precise and Detailed Detection and Delineation of Faces and Facial Features

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
Liya Ding, Aleix M Martinez
exaly  

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