Prof. Michel Valstar
University of Nottingham
TITLE: Computational Face Analysis
BIO: Michel Valstar (http://www.cs.nott.ac.uk/~pszmv) is an associate professor in Computer Science at the University of Nottingham, and member of both the Computer Vision and Mixed Reality Labs. He is an expert the fields of computer vision and pattern recognition, where his main interest and world-leading work is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. Valstar pioneered the concept of Behaviomedics, which aims to diagnose, monitor, and treat medical conditions that alter expressive behaviour by employing objective assessment of that behaviour. Previously he was a Visiting Researcher at MIT’s Media Lab, and a Research Associate in the intelligent Behaviour Understanding Group (iBUG) at Imperial College London. He received his masters’ degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD at Imperial College London in 2008. He is the founder of the facial expression recognition challenges, FERA 2011/2015/2017, and the Audio-Visual Emotion recognition Challenge series, AVEC 2011-2018. He leads the Objective Assessment research area as the only non-professorial Research Area lead of a £23.6M Biomedical Research Centre, and was the coordinator of the EU Horizon 2020 project ARIA-VALUSPA. Valstar is recipient of Melinda & Bill Gates Foundation funding to help premature babies survive in the developing world. His work has received popular press coverage in The Guardian, Science Magazine, New Scientist, CBC, and on BBC Radio, among others. Valstar is a senior member of the IEEE. He has published over 90 peer-reviewed articles, attracting > 7,500 citations and attaining an H-index of 36.
ABSTRACT: In this tutorial I will go through the pipeline of computational face analysis, which includes face detection, face recognition, facial expression recognition, and higher-level behaviour analysis such as the prediction of behaviomedical conditions, for example depression or pain. The tutorial will be focused on practical issues that one needs to consider, and will use the popular open-source toolbox ‘OpenFace’. I will also go through a number of valuable publicly available face-related databases. While the focus will be on practical implementations, I will refer to and briefly address the literature so attendees can follow up on this at their own leisure after the tutorial.
Prof. John Collomosse
University of Surrey
Prof. Ondrej Chum
Czech Technical University in Prague