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| EPSRC Reference: |
EP/F037384/1 |
| Title: |
Analysing Dynamic Change in Faces |
| Principal Investigator: |
Professor PW McOwan |
| Other Investigators: |
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| Researcher Co-investigator: |
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| Project Partner: |
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| Department: |
Computer Science |
| Organisation: |
Queen Mary, University of London |
| Scheme: |
Standard Research |
| Starts: |
01 June 2008 |
Ends: |
31 May 2011 |
Value (£): |
287,392
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| EPSRC Research Topic Classifications: |
| Vision, Hearing and Other Senses - Applications in ICT |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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06 Dec 2007
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ICT Prioritisation Panel (Technology)
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Announced
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Summary |
Humans are very good at understanding and interpreting the motion of others peoples faces. We can effortlessly recognise emotions and interpret subtle facial behaviours such as sardonic smiles, thoughtful frowns or questioning looks, but the question remains, how do we do this? We need new computer based tools to be able to explore this fascinating area of psychology. In this project we will develop a new form of three-dimensional camera system that will allow us to record the movements of people's faces and then process this video information to discover the components of movements that go to make them up. Once we are able to discover the parts of movements that add together to make familiar facial expression we can use this to be able to create new faces; in much the same way as a music mixing desk allows you to blend together different sounds, we will have software that allows us to mix new faces with whatever expressions we select. Using this new tool we can then carry out experiments to look at how we process faces and imitate other people's facial movement. We will examine how observing the movement in one persons face can be translated into movements of our own face to imitate the action. Because the faces we use are created in the computer we can manipulate them in any way we like. This new technology will allow us to address a large set of basic questions. Can we imitate a person if the face seen only from the side or if it is shown upside down? Do we do better when we imitate our self, a friend or a stranger? We can even create caricatures of faces, where we exaggerate particular movements, to evaluate how these facial gestures are represented in the human face processing system. A better understanding of how imitation works will help us understand social behaviours and their development, and also help in developing computer systems that can both recognise and react to our facial expressions. The new face mixing software will also have commercial applications, for example it can be of use in the computer games and entertainment industry. Movements from one persons face can be used as the instructions to be transferred to create another persons face making the same movement. This will allow for example a voice actor to control the movements of a characters face in addition to simply providing the expressive dialogue, the generation of high quality realistic synthetic actors or faster more efficient ways to video conference over your mobile phone.
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| Final Report Summary |
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No final report summary is available for this grant.
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| Further Information: |
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| Organisation Website: |
http://www.qmul.ac.uk |
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