The team will showcase their work as part of the annual exhibition which runs from 5 – 10 July 2011. Visitors will be able to see how the brain understands faces, what their faces look like when they switch gender, how to transfer motions from one person's face to another and see state of the art computer vision systems that can recognise facial expressions.
Professor Peter McOwan, from the School of Electronic Engineering and Computer Science at Queen Mary, University of London, explains: "We will be showing some of the latest research from the EU funded LIREC project, which aims to create socially aware companion robots and graphical characters. There will be the opportunity for those attending to see if our computer vision system can detect their smiles, watch the most recent videos of our robots in action and talk to us about the project."
If we can understand how we break up facial movement into elementary facial actions and how actions vary between people, this will help computer scientists to both analyse facial movement and build realistic motion into avatars, making avatars more acceptable to people as channels of communication.
Professor McOwan adds: "Robots are going to increasingly form part of our daily lives – for instance robotic aids used in hospitals or much later down the road sophisticated machines that we will have working in our homes. Our research aims to develop software, based on biology, that will allow robots to interact with humans in the most natural way possible - understanding the things we take for granted like personal space or reacting to an overt emotion such as happiness."
Co researcher Professor Alan Johnston, from the UCL Division of Psychology and Language Sciences added: "A picture of a face is just a frozen sample drawn from a highly dynamic sequence of movements. Facial motion transfer onto other faces or average avatars provides an extremely important tool for studying dynamic face perception in humans as it allows experimenters to study facial motion in isolation from the form of the face."
Co researcher Professor Cecilia Heyes, from All Souls College, University of Oxford, points out: "This technology has all kinds of great spin-offs. We're using it to find out how people imitate facial expressions, which is very important for rapport and cooperation, and why people are better at recognizing their own facial movements than those of their friends – even though they see their friends faces much more often than their own."
Sian Halkyard | EurekAlert!
Stealth Virus for Cancer Therapy
31.01.2018 | Universität Zürich
New formulas for exploring the age structure of non-linear dynamical systems
23.01.2018 | Max-Planck-Institut für Biogeochemie
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.
But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...
Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.
The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...
Theoretical physicists propose to use negative interference to control heat flow in quantum devices. Study published in Physical Review Letters
Quantum computer parts are sensitive and need to be cooled to very low temperatures. Their tiny size makes them particularly susceptible to a temperature...
Let’s say the armrest is broken in your vintage car. As things stand, you would need a lot of luck and persistence to find the right spare part. But in the world of Industrie 4.0 and production with batch sizes of one, you can simply scan the armrest and print it out. This is made possible by the first ever 3D scanner capable of working autonomously and in real time. The autonomous scanning system will be on display at the Hannover Messe Preview on February 6 and at the Hannover Messe proper from April 23 to 27, 2018 (Hall 6, Booth A30).
Part of the charm of vintage cars is that they stopped making them long ago, so it is special when you do see one out on the roads. If something breaks or...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
16.02.2018 | Information Technology
16.02.2018 | Health and Medicine
16.02.2018 | Physics and Astronomy