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Research at the University of Cambridge Department of Engineering (DoEng) since 1997 created methods for reconstructing a three-dimensional (3D) model of an object from a single two-dimensional photograph. Metail, a company founded in 2008, sponsored further research at the DoEng and commercialised the results in an online fashion retailing application. Metail enables customers to select an item of clothing and see how they would look wearing it from a variety of angles, having entered just one photograph of themselves and a few basic body measurements. Metail attracted over GBP3.5M investment. Its application is used by Shop Direct, Tesco, Warehouse, Zalando and Dafiti. Sales data shows that the Metail application increases the propensity of customers to buy and reduces the proportion of goods returned.
The Boujou special effects software was developed from research carried out at the Department of Engineering Science. It enables sophisticated computer generated imagery (CGI) to be quickly and easily added to `real' film footage, facilitating the visual effects that feature so importantly in films such as Harry Potter and X-Men. The software has become an essential tool used by film-makers, TV advert producers, and video game manufacturers, and for instance played a pivotal role in helping `The Curious Case of Benjamin Button' win the 2009 Oscar for Best Visual Effects. Between 2008 and 2013, sales of Boujou totalled £1.37 million and this software boosted productivity and profitability right across the global digital entertainment industry.
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.
This case study involves the development and implementation of novel algorithms that control the mapping of depth from a scene being imaged by a camera to an image being viewed on a stereoscopic display so as to make viewing more comfortable for the human visual system. The algorithms, developed at Durham University between 2003 and 2005:
Professor Peter Giblin (Department of Mathematical Sciences at the University of Liverpool), together with collaborators, used methods from singularity theory to develop an approach for recovering 3-d information from 2-d images, such as photos. In the past decade, these have been implemented and built upon by software engineers, leading to significant cultural, economic and societal impacts. These include the creation of an innovative 25m high sculpture of the human body in the Netherlands by the sculptor Antony Gormley and the virtual modelling of clothing on online clothing websites such as Tesco's (Virtual Changing Room by Tesco/F&F). These have reached thousands of consumers worldwide and represent a significant commercial success for the company which developed the software.
Research at the University of Cambridge Department of Engineering (DoEng) has enabled accurate positioning to be added to 2D freehand ultrasound probes to enable the acquisition of large coherent blocks of high-resolution 3D ultrasound image data. The software code base developed in the DoEng was licensed to two separate companies, Schallware and MedaPhor, to enable them each to develop an ultrasound training product. Both companies have sold to more than 30 customers worldwide during the REF impact period; the Cambridge software had a key role in contributing to the innovation and quality of the products developed by both companies, and significantly increased the speed at which they were able to bring these products to market.
Research at Kingston University into methods for tracking pedestrians and monitoring crowds using computer vision techniques has been translated into commercial products by Ipsotek Ltd and BAe Systems, resulting in economic benefits to these companies from sales of these products.
These products have been sold to high-profile customers including the London Eye, the O2 Arena and the Australian Government, providing significant commercial benefits, employment and growth for both companies, as well as providing an economic impact for these customers.
A new company, Geomerics, was created as a spin-out from the Cavendish Laboratory. Geomerics now employs 22 full time staff, with offices in Cambridge, UK and Vancouver, Canada. Geomerics has pioneered a new business sector in selling lighting middleware technology, based on Cambridge research, to games developers. Customers include Electronic Arts, Square Enix and Take 2 (three of the five largest publishers) and licenses have been sold in Europe, North America, Japan and Korea. In 2011 the first game released using Geomerics software, Battlefield 3, became the fastest selling game in Electronic Arts' history, having sold nearly 20M copies.
University of Cambridge research on the principles of `sentient computing' led to the foundation of spin-out company Ubisense, which has grown into a leading location solutions company. By the end of 2011, Ubisense had 170 employees and was floated on AIM with a valuation of £38.6million. It serves customers such as BMW, Airbus, Aston Martin and the US Army. Deployment of the Ubisense Real Time Location System has improved production line accuracy and efficiency by up to 10%.
Phase unwrapping is an essential algorithmic step in any measurement system or sensor that seeks to determine continuous phase. Instances of such devices are widespread: e.g. image reconstruction in magnetic resonance imaging (MRI), synthetic aperture radar (SAR) by satellite systems, analysis of seismic data in geophysics and optical instrumentation, to name but a few. Without successfully solving the phase unwrapping problem these instruments cannot function.
The topic is well developed and competition among algorithms is fierce. In 2012 alone, some 235 papers, most of which were describing potential new algorithms, were published in the area. But the continuing need for high-speed, automated and robust unwrapping algorithms poses a major limitation on the employability of phase measuring systems.
Working originally within the context of structured light 3D measurement systems, our research has developed new phase image unwrapping algorithms that constitute significance advances in speed, automation and robustness. The work has led to adoption by industry, as well as use in commercial and government research centres around the globe. Our approach since 2010 has been to make these algorithms freely available to end users. Third parties have gone on to translate our algorithms into other languages, widely used numerical software libraries have incorporated the algorithms and there are high profile industrial users.