Summer School in Computer Vision 2007-09
Lead Research Organisation:
University of Essex
Department Name: Computing and Electronic Systems1
Abstract
Computer vision is a complex area, spanning disciplines such as computer science, electronic engineering, psychology, mathematics and physics. As such, there are many ideas and principles that research students need ot learn in order to become effective researchers in the area. This summer school is the principal mechanism in the UK by which the body of research students is able to learn these ideas and principles, and has the added bonus that expert practitioners from industry are able to show how these principles are realised in practical systems.
Publications
Almuhairi M
(2010)
Time-weighted Evaluation of Image Segmentation with a Genetic Algorithm
Bostanci E
(2014)
Spatial statistics of image features for performance comparison.
in IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Ehsan S
(2012)
An algorithm for the contextual adaption of SURF octave selection with good matching performance: best octaves.
in IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Ehsan S
(2013)
Rapid online analysis of local feature detectors and their complementarity.
in Sensors (Basel, Switzerland)
Kanwal N
(2014)
Matching corners using the informative arc
in IET Computer Vision
Kanwal N
(2011)
Evaluating the angular sensitivity of corner detectors
Description | This research grant educated about 150 doctoral-level researchers in the techniques of computer vision. Those students have gone on to make contributions in a variety of disciplines, ranging from medical research to movie-making. |
Exploitation Route | The Summer School in Computer Vision continues, and is run by the British Machine Vision Association, a charity which promotes the uptake of computer vision techniques. |
Sectors | Aerospace, Defence and Marine,Agriculture, Food and Drink,Communities and Social Services/Policy,Construction,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Environment,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Pharmaceuticals and Medical Biotechnology,Retail,Security and Diplomacy,Transport |
Description | The Summer School on Computer Vision has educated >150 PhD students in the techniques of computer vision, and also given them a chance to meet each other and form a community. My involvement in teaching on the Summer School (as opposed to organising it) has influenced my research, and a number of papers that involve performance evaluation (one of the subjects I lecture on the summer school) are provided for illustrative purposes. |
First Year Of Impact | 2008 |
Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Environment,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Pharmaceuticals and Medical Biotechnology,Security and Diplomacy,Transport |
Impact Types | Cultural,Economic |
Title | Summer School talk on evaluating vision systems |
Description | Although the principal purpose of this research grant was to fund attendance at the annual Summer School, my own participation in presenting lectures in performance evaluation has led me to develop a toolkit and publish several papers that contribute to evaluation methodology in computer vision. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2007 |
Provided To Others? | Yes |
Impact | Performance evaluation, and the toolkit that I developed to implement if, forms an inherent part of my undergraduate teaching in computer vision, so evaluation skills are being learnt at graduate level as well as doctoral level. |
Title | Images for evaluating the performance of feature detectors |
Description | This is a substantial database of natural images used for testing the performance of image feature detectors. |
Type Of Material | Database/Collection of data |
Year Produced | 2012 |
Provided To Others? | Yes |
Impact | We have used this database, among others, to show that both the size and the content of the database plays a part in the results of assessment. We have also shown that combinations of feature detectors can perform better than those detectors in isolation. |
URL | http://vase.essex.ac.uk/datasets/ |
Description | BMVA Summer School collaboration |
Organisation | British Machine Vision Association |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | The Summer School funded by the EPSRC research grant was staged in association with the British Machine Vision Association, a charitable organisation with the aim of promoting machine vision in the UK and encouraging technology transfer between academe and industry. EPSRC funding was critical in being able to stage this annual summer school in its early days, and it now continues without EPSRC support. The PI continues to present two lectures at each Summer School. |
Collaborator Contribution | The BMVA has been able to make the Summer School both self-financing and larger: it is now presented to about 70 research students each year, mostly in the first year of their doctoral research. |
Impact | The research grant was concerned with training future researchers, many of whom now have contributed significant bodies of research in academe or are making important contributions to UK companies in areas ranging from medical research to making movies. |
Description | BMVA at IPOT |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | Presentation on what computer vision is able to achieve was presented at the IPOT (Image Processing and Optical Technology) trade for for a number of years. This sparked interest from many people there are encouraged industry to adopt vision techniques. Several companies approached presenters about collaborations. |
Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011 |