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Our research on Active Shape Models (ASMs) and Active Appearance Models (AAMs) opened up a radically new approach to automated image interpretation, with applications in industrial inspection, medical image analysis, and face tracking/recognition. We identify:
Research undertaken at UEA developed revolutionary algorithms for making pictures look better. These algorithms were subsequently engineered into prize winning desktop and embedded applications, resulting in the creation of the spinout company, Imsense Ltd., in 2006.
In July 2010, Imsense Ltd. was acquired by [text removed for publication] and the Imsense technology has now been incorporated into [text removed for publication] product pipeline.
UCL's research has led to changes in patient care for men with prostate cancer, through the implementation of less invasive, image-directed treatment and diagnostic strategies, and clinical trials that use these techniques. The use of medical image registration software to deliver high- intensity ultrasound therapy in a targeted manner has been shown to change the treatment plan in half of the patients participating in a clinical study. New biopsy criteria are now used routinely to classify patient risk at University College Hospital, where, since 2009, clinicians have determined the treatment options for more than 741 prostate cancer patients. The scheme has been adopted, by 15 other hospitals in the UK and internationally, where it has become the recommended standard of care, and has been used to treat more than 1,200 patients.
This case study has improved the quality of life for patients suffering with visual field defects after brain injury such as hemianopia, which affects more than 4,000 people in the UK each year. Different types of rehabilitation, such as those aimed at enhancing exploration or reading, have been shown to have a direct positive impact on patients, improving their confidence, independence, self-esteem and general quality of life. Approximately 200 individuals have benefitted from Durham University's visual rehabilitation programmes to date, including some patients internationally, with a CD toolkit being provided to countries such as Belgium, Denmark, and Chile. This research therefore has direct impacts on health and wellbeing worldwide and has influenced the care offered by NHS practitioners.
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.
Research at the University of Cambridge Department of Engineering on computer vision tracking led to the creation of Extra Reality Limited in 2010, which was subsequently acquired by a new company called Zappar Limited in May 2011. Zappar employs 17 staff and had revenue of GBP612k in the financial year 2012/13, an increase of 35% on the previous year.
Over 50 different brands have used Zappar's augmented reality application across more than 300 offerings in over 17 countries to deliver entertainment-based marketing interactions from 2011 to 2013. [text removed for publication] Examples of partners include Disney, Warner Brothers and Marvel. Zappar has changed attitudes in the media sector by showing that "augmented reality is finally ready for prime time" (President, Creative Strategies Inc, Time Online, 2012).
RTT (Real Time Tomography) scanning systems for airport baggage are becoming increasingly important due to growing air traffic and greater security concerns. Prior to our research, Rapiscan, a leading producer of baggage scanners, had been unable to make full use of the hardware in their latest generation of scanner prototypes. Our novel theory and image reconstruction algorithms are now a core part of a commercially successful 3D scanner that is significantly faster and more accurate than previous generations. The two models, RTT80 and large RTT110, have been approved by regulatory authorities and have already been field trialled at Manchester Airport and deployed at Seattle airport, with further US$20m orders placed.
The research and impact described herein was flagged in the citation for the UoM's 2013 Queen's Anniversary Prize for Higher and Further Education for its work in imaging techniques to support advanced materials and manufacturing.
This Keele University research in multiscale object recognition has led to two key breakthroughs: (a) the automated identification of tissue boundaries in computer tomographic (CT) scans, enabling the latest radiotherapy equipment to more accurately target diseased tissue thus avoiding neighbouring healthy organs. Such improvements are essential to the successful roll-out of new more precise linear accelerators in the treatment of cancer; (b) new fractal algorithms to characterise the quality of transplanted cell growth from post-operative biopsies. By automating the selection of the healthiest cells this has assisted the generation of patient-specific cartilage and is essential for the development of a medical capability for large-scale patient-specific generation of cartilage growth for the treatment of arthritis. It has indirectly led to software improvements in cell-tracking and to achieving reliable auto-focussing in high throughput non-invasive microscopy.
A new multi-purpose computer vision system to identify sub-standard food products has been created. The research developed a user-trainable software technology with a range of possible applications, thus overcoming the specificity and other limitations such as the high set-up cost of existing visual inspection systems. This research is achieving impact in several areas within the food industry, including quality analysis of fresh produce, food processing and food packaging. The technology is currently being trialled at the leading post-harvest applied research facility for agricultural storage in the UK, and is also being licensed to a world-leading supplier of food packaging machines and equipment for inclusion in a new product range under development. The longer-term impacts include safer food, reduced food waste, more efficient food production, and better use of natural resources (e.g. reduced use of water, pesticides and other inputs), through early detection of potentially harmful flaws in production and packaging.
Infantile nystagmus (IN), previously known as congenital nystagmus, is a condition that impairs vision by causing continual and involuntary oscillatory movements of the eyes. IN begins in infancy and is a lifelong disorder, affecting over 88,000 people in the UK. Leicester is the leading UK centre for research into the underlying mechanisms and treatment of IN: discovering the genetic mutations behind some of the common forms of nystagmus; pioneering early diagnosis of IN; and conducting randomised clinical trials into drug treatments and other therapies. The centre provides advanced scientific and medical knowledge, and support and advice to sufferers of this physically and psychologically debilitating condition. The work has resulted in new methods of diagnosis which are more comfortable and convenient for patients and enable cost-savings for healthcare providers; and has led to the testing and subsequent prescription of pharmacological treatments which offer patients improvements in quality of life.