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

Mandal

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. Spontaneous vs. Posed smiles - can we tell the difference?. Presented at International Conference on Computer Vision and Image Processing

• Conference Name: International Conference on Computer Vision and Image Processing
• Acceptance Date: Feb 16, 2016
• Publication Date: Feb 16, 2016
• Series Title: International Conference on Computer Vision and Image Processing (CVIP),
• Keywords: posed; spontaneous smiles; feature extraction; face analysis
• Publisher URL: https://link.springer.com/chapter/10.1007%2F978-981-10-2107-7_24