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How do you smile? Towards a comprehensive smile analysis system

  • Published:2017-04 Issue: Volume:235 Page:245-254
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Wu Pingping,Liu Hong,Xu Chao,Gao Yuan,Li Zheyuan,Zhang Xuewu

Funder

National Natural Science Foundation of China

National High Technology Research and Development Programme of China

Scientific and Technical Innovation Commission of Shenzhen Municipality

Specialized Research Fund for the Doctoral Programme of Higher Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage (Revised Edition);Ekman,2009

2. All smiles are not created equal: morphology and timing of smiles perceived as amused, polite, and embarrassed/nervous;Ambadar;J. Nonverbal Behav.,2009

3. The amygdala theory of autism;Baron-Cohen;Neurosci. Biobehav. Rev.,2000

4. A new descriptor of gradients self-similarity for smile detection in unconstrained scenarios;Gao;Neurocomputing,2016

5. Exploring temporal patterns in classifying frustrated and delighted smiles;Hoque;IEEE Trans. Affect. Comput.,2012

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1. Coupling deep and handcrafted features to assess smile genuineness;Real-Time Image Processing and Deep Learning 2024;2024-06-07

2. Dynamics of facial actions for assessing smile genuineness;PLOS ONE;2021-01-05

3. Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction;2021 IEEE Winter Conference on Applications of Computer Vision (WACV);2021-01

4. Happy Emotion Recognition From Unconstrained Videos Using 3D Hybrid Deep Features;IEEE Access;2021

5. Happy Emotion Recognition in Videos Via Apex Spotting and Temporal Models;2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2020-12
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