As any viewer of Crimewatch will know, E-fit pictures don’t always give a true likeness of a human face. However, all this is set to change thanks to researchers at the University of Kent who are working with their counterparts at the Open University to create a software system that will generate far more life-like, and therefore far more easily identifiable, faces.
Using a combination of computer science and forensic psychology, the team are developing a revolutionary system that will enable the user to create a face not by selecting physical features, such as skin tone or chin shape, but by selectively ‘breeding’ combinations of faces that exhibit similarity to the desired face. The system also allows the user to specify and modify a range of other attributes. This means it will be possible to show clearly whether someone looks more feminine or masculine or whether the person looked kind, mean, or even happy.
Dr Chris Solomon, the project leader, is a Senior Lecturer in the University’s School of Physical Sciences. He explains: ‘We have a tendency to see faces globally; we don’t remember them just as a collection of individual features. The use of these ‘semantic’ attributes enables people to interact with the system to create a face as they would actually have seen it. Part of the problem with current composite pictures is that they don’t really look human.’
Karen Baxter | alfa
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