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
Robots as Tools and Partners in Rehabilitation
17.08.2018 | Albert-Ludwigs-Universität Freiburg im Breisgau
Low bandwidth? Use more colors at once
17.08.2018 | Purdue University
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
17.08.2018 | Physics and Astronomy
17.08.2018 | Information Technology
17.08.2018 | Life Sciences