Spontaneous Versus Posed Smiles—Can We Tell the Difference?

Mandal, Bappaditya; Ouarti, Nizar

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 UvA-NEMO smile database show promising results as compared to other relevant methods.

Citation

Mandal, B., & Ouarti, N. (2017). Spontaneous Versus Posed Smiles—Can We Tell the Difference?. . https://doi.org/10.1007/978-981-10-2107-7_24

• Conference Name: International Conference on Computer Vision and Image Processing - CVIP 2016
• Conference Location: IIT Roorkee, Roorkee India
• Start Date: Feb 26, 2016
• End Date: Feb 28, 2016
• Online Publication Date: Dec 25, 2016
• Publication Date: 2017
• Deposit Date: Nov 21, 2023
• Publisher: Springer
• Pages: 261-271
• Series Title: Advances in Intelligent Systems and Computing
• Series ISSN: 2194-5365
• ISBN: 978-981-10-2106-0
• DOI: https://doi.org/10.1007/978-981-10-2107-7_24
• Publisher URL: https://link.springer.com/chapter/10.1007/978-981-10-2107-7_24