Event Location: NSH 1507
Bio: Hamdi Dibeklioglu received the B.Sc. degree from Yeditepe University, Istanbul in 2006 and the M.Sc. degree from Bogaziçi University,Istanbul in 2008. In 2013, he completed his PhD research in the Intelligent Systems Lab Amsterdam, University of Amsterdam. He is currently a post-doctoral researcher in the Pattern Recognition & Bioinformatics Group at Delft University of Technology. His research interests include computer vision, pattern recognition, and human behavior analysis.

Abstract: Most of the approaches in face analysis rely solely on static appearance. However, temporal analysis of expressions reveals interesting patterns. In this talk, I will describe automatic spontaneity detection for enjoyment smiles using temporal dynamics of different facial regions. We have recorded spontaneous and posed enjoyment smiles of hundreds of visitors to the NEMO Science Centre in Amsterdam, thus creating the most comprehensive smile database ever: the UvA-NEMO Smile Database (www.uva-nemo.org ). Our findings on this publicly available database show that facial dynamics go beyond expression analysis. I will discuss how we can use expression dynamics to improve age estimation and kinship detection.