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Computer Science > Computer Vision and Pattern Recognition

arXiv:1605.07026 (cs)
[Submitted on 23 May 2016]

Title:Spontaneous vs. Posed smiles - can we tell the difference?

Authors:Bappaditya Mandal, Nizar Ouarti
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Abstract:Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, `smiles' can be deceptive, for example people can give a smile when they feel happy and sometimes they might also give a smile (in a different way) when they feel pity for others. This work aims to distinguish spontaneous (felt) smile expressions from posed (deliberate) smiles by extracting and analyzing both global (macro) motion of the face and subtle (micro) changes in the facial expression features through both tracking a series of facial fiducial markers as well as using dense optical flow. Specifically the eyes and lips features are captured and used for analysis. It aims to automatically classify all smiles into either `spontaneous' or `posed' categories, by using support vector machines (SVM). Experimental results on large database show promising results as compared to other relevant methods.
Comments: 10 pages, 5 figures, 6 tables, International Conference on Computer Vision and Image Processing (CVIP 2016)
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:1605.07026 [cs.CV]
  (or arXiv:1605.07026v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.1605.07026

Submission history

From: Bappaditya Mandal [view email]
[v1] Mon, 23 May 2016 14:21:30 UTC (2,441 KB)
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