#computer vsion

[aahsing-blog]

How to convert an image into matrix(or array)?

[amoni-bath]

The Computational Face - Novel approaches in an age of big data

Dates: 03/02/2016: 16:15-17:15 and 04/02/2016 09:15-10:15

Location: University of Bath, main campus: 1WN 3.24

Abstract In these talks, Michel will present recent advances in computer vision and machine learning made by my team at the University of Nottingham.

Wednesday’s talk: Michel will focus in this talk on his work on facial point localisation using direct displacement prediction (regression), and on recent work on using continuous regression to make facial point tracking an order of magnitude faster than the current state of the art.

Thursday’s talk: Michel will focus in this talk on facial expression analysis in general and the potential of a new field of study that combines affective computing, social signal processing, and medicine, which he coined Behaviomedics. Behaviomedics studies medical conditions that cause altered expressive behaviour, which can in itself be objectively measured using computer vision and machine learning techniques, thus contributing to their diagnosis, monitoring, and potential treatment.

Biography Michel Valstar (http://www.cs.nott.ac.uk/~mfv) is an associate professor at the School of Computer Science, University of Nottingham, and member of both the Computer Vision and Mixed Reality Labs. He received his masters' degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial College London in 2008, and he was a Visiting Researcher at MIT's  Media Lab.  He works in the fields of computer vision and pattern recognition, where his main interest is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. He is the founder of the  facial expression recognition challenges (FERA 2011/2015), and the Audio-Visual Emotion recognition Challenge series (AVEC 2011-2015). He is the coordinator of the EU Horizon2020 project ARIA-VALUSPA, which will build the next generation virtual humans, and recipient of Melinda & Bill Gates Foundation funding to help premature babies survive in the developing world. In 2007 he won the BCS British Machine Intelligence Prize for part of his PhD work. His work has received popular press coverage in, among others,  Science Magazine, The Guardian, New Scientist and on BBC Radio. He has published over 50 peer-reviewed papers at venues including PAMI, CVPR, ICCV, SMC-Cybernetics, and Transactions on Affective Computing (h-index 28, >3400 citations).