Log in
Frowd's research aims to understand the extent to which witnesses and victims of crime construct accurate facial composites (pictures of criminal's faces), and to develop techniques which maximize the effectiveness of composites, thus allowing the police to identify as many offenders as possible using this type of forensic evidence. The principal impact involves a software system (EvoFIT), a new interview (Holistic-Cognitive Interview, H-CI) and two formats (animated caricature and stretched composite) for the police to publish composites in the media. In the audit period, these advancements have been used by police forces in the UK, US, Romania and Israel.
This research, which examines police investigatory methods to identify police suspects has directly increased suspect identification rates by the Metropolitan Police Service (MPS). It led to the MPS establishing a register of `super-recognisers' - officers particularly skilled at identifying faces from CCTV footage - and changed practices. Dissemination of the research, also well-publicised in the media, has influenced national policy makers. There is worldwide interest and secured European funding for a test to identify super-recognisers amongst police cohorts. The research is also improving recognition of EFIT-V images, the facial composite system used by most UK police forces. Dr Davis is disseminating his findings through the training course that operators have to complete to be certified to produce composites in real police investigations. He is also contributing to economic impact by enhancing the EFIT-V product.
Research in biometrics carried out at Surrey since 1995 has generated IP relating to a number of aspects of automatic face recognition, which resulted in significant performance improvement, rendering this biometric technology commercially exploitable.
The advances made at Surrey include illumination invariant imaging, face detection/localisation using robust correlation, innovative face skin texture representation using a multiscale local binary pattern descriptor, a patented (and exceptionally compact) person specific discriminant analysis, facial component based matching, and patented multi-algorithmic fusion.
Through an IP agreement, these innovations have been commercially exploited by the University spinout company OmniPerception, which has developed products for various security applications.
Research conducted within the School of Physical Sciences (SPS) at the University of Kent has led to the development and successful commercialisation of facial identification software named EFIT-V. First sold in 2007, this software is now used by more than 70 police forces internationally and has revolutionized the way eyewitnesses and victims of crime create computerised facial likenesses of offenders. These images are circulated to police intelligence units, and the general public, leading to the identification and arrests of offenders. Police Identification rates have jumped from 5% to 55% as a result of this software. With a current annual turnover exceeding £250K, which is projected to reach £600K by 2015, Kent spinout company Visionmetric has made significant impact with EFIT-V, and achieved a position of commercial dominance in the UK, and around the world.
Our impact on the theory and practice of biometrics (identification of individuals through measurement/analysis of their physiological/behavioural characteristics) embraces contributions to technological development, to general systems-level principles and to public policy and professionalisation issues. Our research and consequent engagement across the stakeholder community has impacted on the technological development of practical biometrics through take-up by industry (e.g. InMezzo, one of the UK's leading secure information specialists, has enhanced identity authentication procedures), company spinout (the EFIT-V facial recognition suite from VisionMetric Ltd fundamentally changed the means by which facial composites are created and is now used by more than 85% of Britain's Police Forces), leadership of the development of standards for the expanding commercial marketplace (e.g. establishment of standards for image acquisition for e-passports and other access control applications) and policy-level input to Government and International Professional Bodies, providing long-term support for practical deployment and end- user engagement (the Biometrics Assurance Group with Fairhurst as an independent member reported the security risk and problems identifying fingerprints within the UK government's £5.6bn ID card scheme proposal).
Prosopagnosia, or the inability to recognise faces, affects one person in 50, but public and professional awareness of the condition is low. Bournemouth University (BU) established The Centre for Face Processing Disorders (CFPD) to provide cognitive screening and training programmes to improve recognition skills for affected adults and children. The centre has grown significantly and, having tested over 100 people for prosopagnosia, now treats 30 adults and 10 children through cognitive training and clinical treatment. While patient numbers are moderate to date, the service is unique in the UK and has provided proof of concept for a scalable prosopagnosia diagnosis and a treatment approach. This includes protocols for different conditions including Autism and Moebius syndrome. In addition, the CFPD has orchestrated policy changes within significant health organisations and charities.
Wilkinson has developed, evaluated and applied techniques, standards and datasets for facial depiction and identification of the dead. The impacts include: