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Realising the potential of 3D scanners through reverse engineering and digital shape reconstruction

Summary of the impact

3D scanning technology has enabled multiple opportunities for innovation in diverse areas such as manufacturing, design, and the arts. However, full utilisation of this technology requires not just the scanning hardware, but accompanying software that can build meaningful, editable models. This development has been pioneered by research conducted in the School of Computer Science and Informatics, at Cardiff University. Innovative algorithms for reverse engineering and digital shape reconstruction were devised that enabled the reconstruction of complex computer aided design (CAD) models from data captured by 3D scanners. The algorithms have been endorsed by Geomagic Inc, a market leading American software corporation (recently acquired by 3D Systems), that has subsidiaries in Europe and Asia and global distributors, and incorporated into their software product suite. This is accessed by nearly 10,000 licensed users worldwide, who have applied the product for industrial applications including aerospace and automotive engineering, product design, cultural heritage preservation, and healthcare. Accordingly, the impacts claimed are twofold: a) economic gain manifesting in the benefits to Geomagic and a plethora of end users who have utilised the software, b) impact on practitioners and professional services in diverse domains.

Submitting Institution

Cardiff University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

Enabling high-quality, low power mobile broadband services

Summary of the impact

Femtocells provide short-range (e.g. 10m) wireless coverage which enables a conventional cellular communication system to be accessed indoors. Their widespread and growing use has been aided by the work in UoA11 by the University of Bedfordshire (UoB).

In 2008, while the femtocell concept was still in its infancy, researchers at UoB with expertise in wireless networks recognised that coverage prediction and interference reduction techniques would be essential if the benefits of that concept were to be realised.

Collaboration with two industrial partners (an international organisation and a regional SME) resulted in tools that enable operators to simulate typical femtocell deployment scenarios, such as urban, dense apartments, terraced house and small offices, before femtocells can be reliably deployed by users without affecting the rest of the network (a benefit of the technology). These tools have been deployed by those partners to support their businesses. A widely-cited textbook, written for network engineers, researchers and final year students, has brought knowledge of femtocell operation to a wider audience.

Submitting Institution

University of Bedfordshire

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics, Information Systems
Technology: Communications Technologies

Walk This Way: Leading the World in Gait Biometrics

Summary of the impact

Gait recognition research has produced impacts on public policy, on national security processes, on forensic service practice, on culture and society. The notion that people can be recognised by the way they walk was invented as a totally new means to identify people and has gained increasing popularity, reflected by its inclusion in an episode of BBC premier series Spooks. This followed considerable scientific development after its invention at Southampton in 1994, culminating in impacts that include its integration in a commercial system piloted by the National Physics Laboratory, novel forensic use in a criminal conviction, its take up by researchers at the Serious Organised Crime Agency and its focus by The Forensic Science Society. Southampton has retained its position at the forefront of gait biometrics research, collaborating nationally and internationally and driving prolific media engagement that has furthered this new technology and increased its global impact

Submitting Institution

University of Southampton

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Uncovering the secrets of the Rhind Mummy (in partnership with National Museums Scotland)

Summary of the impact

Research on medical imaging, undertaken by Kranioti at the University of Edinburgh since 2010, has led to cultural, commercial and practice-based impacts.

i) Collaboration with National Museums Scotland (NMS) on the successful Fascinating Mummies exhibition (2012) involved the construction of an in-depth virtual view of a specific popular exhibit — the Rhind Mummy excavated in 1857 (5.3). The initial exhibition attracted 61k visitors, and provided enhanced public understanding of these important artefacts and material about the virtual view continues to be available online.

ii) Collaboration with the Holoxica company to combine computerised tomography (CT) scanning technology with photonics technology in order to produce an innovative digital hologram product based on the Rhind Mummy's skull giving a true 3D view of the object. This has subsequently been displayed at the Holography Museum at MIT, Cambridge, MA.

Radiologists and police in Scotland have separately sought Kranioti's expertise to improve their understanding of the values of medical imaging technology in cognate fields of forensic anthropology.

Submitting Institution

University of Edinburgh

Unit of Assessment

Geography, Environmental Studies and Archaeology

Summary Impact Type

Cultural

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Neurosciences

Automated Personal Identity Recognition Using Face Detection: Spin Out OmniPerception

Summary of the impact

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.

Submitting Institution

University of Surrey

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics, Information Systems

Biometrics: Supporting technology, policy and professional developments

Summary of the impact

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).

Submitting Institution

University of Kent

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems

Enhancing Suspect Identification Rates from Facial Composites and CCTV

Summary of the impact

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.

Submitting Institution

University of Greenwich

Unit of Assessment

Psychology, Psychiatry and Neuroscience

Summary Impact Type

Legal

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Public Health and Health Services
Psychology and Cognitive Sciences: Psychology

EFIT-V Facial Recognition Software

Summary of the impact

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.

An offender in police custody recognised and identified using Kent’s EFIT-V technology
    (Image courtesy of Merseyside Police 2012)
An offender in police custody recognised and identified using Kent’s EFIT-V technology
(Image courtesy of Merseyside Police 2012)

Submitting Institution

University of Kent

Unit of Assessment

Physics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Neurosciences
Psychology and Cognitive Sciences: Psychology

The GMPR 3D Technologies

Summary of the impact

The Geometric Modelling and Pattern Recognition (GMPR) Group at Sheffield Hallam University (SHU) has developed and patented internationally-known line projection technologies for fast 3D scan, reconstruction and recognition. Three types of impact can be identified: (i) through our patents, we have licensed to companies in Europe and the USA; (ii) these technologies are being transferred to Small and Medium-sized Enterprises (SMEs) across Europe, through the European funded MARWIN and ADMOS projects; and (iii) social and cultural impacts are evidenced by the 3D scanning of representative items from the Museums Sheffield Metalwork Collection which have been made publicly available on the web, and through the `Man of Steel' community project where a landmark sculpture will form a gateway to South Yorkshire and the Sheffield City Region.

Submitting Institution

Sheffield Hallam University

Unit of Assessment

Communication, Cultural and Media Studies, Library and Information Management 

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Neurosciences

2. Platinum-Group Element mineral deposits: exploration, evaluation and beneficiation

Summary of the impact

Platinum Group Elements (PGE) are critical strategic metals because of their unrivalled applications in catalysts, fuel cells and electronics and cancer therapies. Research and analytical methods developed at Cardiff have impacted on exploration for new PGE deposits, and more efficient processing of PGE ores by international mining companies. A key milestone between 2009 and 2012 was the discovery of a 3 billion year old giant impact crater in West Greenland. This discovery is of major economic significance because all craters previously found in this size class are associated with multi-billion dollar mineral and/or hydrocarbon resources. It led to an intellectual property transaction worth CDN$ 2.1 million and discovery of nickel and PGE deposits in Greenland by North American Nickel Incorporated.

Submitting Institution

Cardiff University

Unit of Assessment

Earth Systems and Environmental Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Earth Sciences: Geochemistry, Geology
Engineering: Resources Engineering and Extractive Metallurgy

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