Facial Expression Recognition
By Maja Pantic. Encyclopedia of Biometrics, 2009
429 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/fa41dc46e4f5d55ab16fac96c6de391b79e9af86
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Experimental and Cognitive Psychology
- Qi Tian
- D. Jude Hemanth
- Shiguang Shan
- Tu N. Nguyen
- Chen Change Loy
- Shiliang Zhang
- Wen Gao
- Shiqing Zhang
In Human-Computer Interaction
- Qi Tian
- Shiguang Shan
- Chen Change Loy
- Shiliang Zhang
- Wen Gao
- Shiqing Zhang
- Zhanpeng Zhang
- Tiejun Huang
Citations in the corpus
- Facial Expression Recognition with Inconsistently Annotated Datasets (2018, background): “Based on these datasets, lots of FER approaches are proposed and achieve the state-of-the-art performance[27, 25, 30, 4, 14, 34, 18].”
- From Facial Expression Recognition to Interpersonal Relation Prediction (2016, background): “Facial expression recognition is an actively researched topic in computer vision (Tian et al. 2011).”
- Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2018, methodology): “Visual feature extraction methods can be summarized into two categories according to the format of inputs that are static or dynamic [39], [40].”
- Deep learning-based facial emotion recognition for human–computer interaction applications (2021, background): “The main blocks in the traditional emotion recognition system are detection of faces, extracting the features, and classifying the emotions [3].”