DOCSLIB.ORG

Maria Petrou, Freng Page 1 of 2 Maria Petrou, Freng

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Maria Petrou, Freng Page 1 of 2 Maria Petrou, Freng Professor Maria Petrou, FREng Page 1 of 2 Maria Petrou, FREng Professor of Image Analysis. B.Sc. in Physics, 1975, Aristotelion University of Thessaloniki, Greece. Part III, Mathematical Tripos, 1977, University of Cambridge, UK. Ph.D. in Astronomy, 1981, University of Cambridge, UK. Fellow of IEE, 1998. Chartered Engineer, 1999. Fellow of IAPR, 2000. Fellow of the Royal Academy of Engineering, 2004. Background Maria Petrou has been a lecturer in Astronomy at the Kapodistrian University of Athens (1981-1983) and a Post Doctoral Research Assistant at the University of Oxford, Department of Theoretical Physics (1983-1986). She has been working on Computer Vision since 1986, initially as a Research Associate at the NERC Unit for Thematic Information Systems (NUTIS) in the Geography Department of Reading University, later as an Atlas Research Fellow of St. Hilda's College Oxford at Rutherford Appleton Laboratory, and since 1988 at the Department of Electronic & Electrical Engineering of Surrey University, initially as a lecturer subsequently as a Senior Lecturer then as a Reader and since 1998 as Professor of Image Analysis. Research Interests Her research interests include many topics on Image Processing, Computer Vision and Pattern Recognition, with applications in Biomedicine, Geoscience, etc, as well as research in basic methodology (eg you may download a software package on the Trace transform from (Trace Transform)). She is the Project Leader of a Basic Technology UK Research Councils project on Reverse Engineering the Human Vision System, (BASIC) and she holds a portfolio grant from EPSRC in collaboration with other members of the University of Surrey (portfolio). She has more than 250 publications (click here to view them in postscript format), (or here as a PDF file) (more than 90 in refereed journals) and numerous articles of journalistic nature, like book reviews and conference reports. She has co-authored a book: ``Image Processing, the fundamentals'', John Wiley publishers, ISBN 0471 99883 4 . She has served as the chairman of the IAPR Technical Committee 7 for Remote Sensing (1998-2002) (TC7), and the chairman of the British Machine Vision Association, and Society for Pattern Recognition (1999-2002) (BMVA). She has served as Associate Editor of IEEE Transactions on Image Processing and as the newsletter editor of the International Association for Pattern Recognition for 5 years (1994-98) (IAPR) . She is a Fellow of IEE, a Fellow of IAPR, and a member of the IEEE. She is currently an Honorary Editor of IEE Electronics Letters (EL), and a Theme Leader for the Data and Information Fusion Defence Technology Centre (DIF-DTC). She is in the Editorial board of the journals Electronic Letters on Computer Vision and Image Analysis (ELCVIA), the journal Pattern Recognition and Image Analysis, (PRIA), the journal of Applied Intelligence (AI) and the journal Pattern Analysis and Applications (PAA). Some fun! Ironing instructions for the ironing robot challenge. Editorial of the IAPR Newsletter, Volume 16, Number 1, 1994. Editorial of the IAPR Newsletter, Volume 16, Number 2, 1994. Editorial of the IAPR Newsletter, Volume 16, Number 3, 1994. Editorial of the IAPR Newsletter, Volume 16, Number 4, 1994. Editorial of the IAPR Newsletter, Volume 17, Number 1, 1995. Editorial of the IAPR Newsletter, Volume 17, Number 2, 1995. Editorial of the IAPR Newsletter, Volume 17, Number 3, 1995. Editorial of the IAPR Newsletter, Volume 17, Number 4, 1995. Editorial of the IAPR Newsletter, Volume 18, Number 1, 1996. Editorial of the IAPR Newsletter, Volume 18, Number 2, 1996, with cartoon. Editorial of the IAPR Newsletter, Volume 18, Number 3, 1996, with cartoon. Editorial of the IAPR Newsletter, Volume 18, Number 4, 1996. Editorial of the IAPR Newsletter, Volume 19, Number 1, 1997, with cartoon. Editorial of the IAPR Newsletter, Volume 19, Number 2, 1997. Editorial of the IAPR Newsletter, Volume 19, Number 3, 1997, with cartoons. Editorial of the IAPR Newsletter, Volume 19, Number 4, 1997, with cartoons. Editorial of the IAPR Newsletter, Volume 20, Number 1, 1998. http://www.ee.surrey.ac.uk/Personal/M.Petrou/ 2004/08/19 Professor Maria Petrou, FREng Page 2 of 2 Editorial of the IAPR Newsletter, Volume 20, Number 2, 1998. Editorial of the IAPR Newsletter, Volume 20, Number 3, 1998, with cartoon. Editorial of the IAPR Newsletter, Volume 20, Number 4, 1998, with cartoon. [email protected] June 2004 http://www.ee.surrey.ac.uk/Personal/M.Petrou/ 2004/08/19.
Load more

Recommended publications
  • BMVA News – Items for Inclusion
    NewsABMV The Newsletter of the British Machine Vision Association and Volume 18 Number 4 Society for Pattern Recognition June 2008 Editor: Professor Roy Davies Department of Physics Royal Holloway, University of London Egham, Surrey, TW20 0EX Tel: +44(0)1784 443497 Fax: +44(0)1784 472794 http://www.bmva.ac.uk/ email: [email protected] News 1 is published every three Editorial: Journal Roles and Ratings months. Contributions on any activity related to machine vision or pattern recognition The other day I set about upgrading my talk on Low- are eagerly sought. These could include reports on Level Vision for the BMVA Summer School, and found technical activities such as conferences, workshops or it a virtually impossible task – how can one cover such a other meetings. Items of timely or topical interest are subject properly in 1½ hours? However, I then reasoned also particularly welcome; these might include details of that with a suitable handout, I could guide the students funding initiatives, programmatic reports from ongoing carefully through crucial, more advanced topics. After projects and standards activities. Items for the next all, it’s not just the 1½ hours that are important but also edition should reach the editor by 1 September 2008. the ensuing weeks and months, so a handout could produce a very significant amplifying effect. So I proceeded to develop the SIFT (scale invariant feature Contents transform) concept and found a whole set of papers dating from 1998 to 2006 which were not only relevant Editorial: Journal Roles and Ratings.............................1 but remarkably closely interlinked – parallel strands and IAPR Fellowships Awarded ..........................................2 cross-fertilisation being evident as well as natural BMVC 2008 – Call for Participation.............................3 sequential development.
    [Show full text]
  • The Road to Intelligence☆
    Image and Vision Computing 30 (2012) 474–475 Contents lists available at SciVerse ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis The road to intelligence☆ Maria Petrou ⁎ Informatics and Telematics Institute CERTH, Greece Imperial College London, United Kingdom article info abstract Keywords: It is argued that robotic platforms are the way forward towards building intelligent systems, where multiple Intelligent systems sensors and manipulation are used for cognitive processes. It is also argued that the cue for developing the System architecture right architecture for such a system is human language. Tower of knowledge © 2012 Elsevier B.V. All rights reserved. Human language For several years now we have been trying to make intelligent directions, all of them leading to the same end: platforms! Robotics! vision systems. To facilitate the process, we have also postulated the Now, we need to put all our clever systems together and start treating use of prior knowledge which we incorporate in the top down them as integral subparts of a much more complex architecture. Will approaches. To acquire that knowledge we have used the sledge ham- the incorporation of smell complicate things? Perhaps, to begin with, mer of statistics, with, sometimes, hundreds of examples and counter but it will help solve many problems. How else can you distinguish a examples. Alternatively, we have simply inserted it in the form of beautifully made plastic banana from a real one? Will the incorporation rules or constraints. And yet, despite all our successes, we have not of dynamic information help recognition? Yes! How else can you distin- developed a really intelligent vision system yet! I believe the reason guish a floor-touching window from a door, if you do not have the is simple: we have ignored the process.
    [Show full text]
  • Stefanos Zafeiriou
    Stefanos Zafeiriou Contact Department of Computing, E-mail: [email protected] Information Imperial College London, 180 Queens Gate, London SW7 2AZ, United Kingdom Personal First Name Stefanos Information Last Name Zafeiriou Mobile phone +447717564097 Research • Theory: Statistical Machine Learning/Pattern Recognition, Linear/Multilinear decomposi- Interests tions, Convex Optimization, Detection and Estimation Theory. • Applications Object Alignment and Tracking, Facial Biometrics, Facial Expression Recogni- tion, Human Behavioral Analysis, Behavioral Biometrics. Professional Imperial College Reader in Computer Vision and Machine Learning Experience Reader (Associate Professor) Sept. 2017 - present Department of Computing, Imperial College London. Duties: Lead the research efforts in Statistical Machine Learning with applications in Computer Vision. Imperial College Senior Lecturer in Computer Vision Pattern Recognition Senior Lecturer (Associate Professor) Sept. 2015 - Aug. 2017 Department of Computing, Imperial College London. Duties: Lead the research efforts in Statistical Machine Learning with applications in Computer Vision. University of Oulu Distinguished Research Fellow (FiDiPro) Jan. 2016 - present Department of Computer Science and Engineering, University of Oulu, Finland. Duties: Finland Distinguished Professor Programme enables distinguished international researchers to engage in a long-term cooperation with a Finnish university or research institute (I was the only FiDiPro fellow for 2016 from all disciplines). Imperial College/Lecturer in Computer Vision Pattern Recognition Lecturer June. 2012 - August 2015 Department of Computing, Imperial College London. Duties: Lead the research efforts in Statistical Machine Learning with applications in Computer Vision. Imperial College/Junior Research Fellowship D-FaBio - Dynamic Facial Behaviometrics Research Fellow Sept. 2011 - Sept. 2014 Department of Computing, Imperial College London. Duties: Develop an independent line of research.
    [Show full text]
  • Research and Development Expertise: Image and Signal Processing, Computer & Cognitive Vision, Pattern Recognition and Machin
    The Informatics and Telematics Institute (ITI) was founded in 1998 as a non-profit organisation under the auspices of the General Secretarial of Research and Technology of Greece, with its head office located in Thessaloniki, Greece. Since 10.3.2000 it is a founding member of the Centre of Research and Technology Hellas (CERTH) also supervised by the Greek Secretariat of Research and Technology. The ITI Director is Maria Petrou. CERTH-ITI has a staff of 10 Researchers, and more than 80 employees working on various aspects of research in information technology. The Institute collaborates with Imperial College, the University of Surrey and the Aristotelian University of Thessaloniki for the award of PhD degrees. The development of the infrastructure of ITI-CERTH was financed by the National Research fund EPET II with € 2,3 million in the period 1998-2000. In 2002 and 2005, selected committees of experts in Information and Telecommunications Technology from European countries (other than Greece) evaluated the GSRT institutions. ITI was graded with 9,65/10 and 4,4/5 respectively and on this basis it was awarded grants of more than 800 k€. In 2005, ITI's research team was awarded the "European Group Technical Achievement Award" of the European Association for Signal, Speech and Image Processing (EURASIP) for significant contributions to the theory and application of digital filtering and image processing and coding. Research and development expertise: Image and Signal Processing, Computer & Cognitive Vision, Pattern Recognition and Machine Learning, Human Computer Interaction, Virtual and Augmented Reality, Artificial Intelligence, Security and Surveillance, Biomedical Applications, Environment, Geoscience and Remote Sensing, Communications and Networking, Multimedia, Database and Information Systems, Social Media Analysis, e-Government, Cultural and Educational Technology, and Integrated Commercial Solutions.
    [Show full text]
  • Template Advertisement
    Imperial College London and ITI-CERTH Department of Electrical and Electronic Engineering Communications and Signal Processing Group Research Associate Salary in the range £30,680 - £39,130 per annum Fixed term appointment for 18 months We are seeking a post-doctoral Research Associate to work with a research team led by Professor Maria Petrou, on the exciting new, EU funded, NOPTILUS project which is concerned with underwater robotic vision, and is coordinated by ITI-CERTH. The successful applicant will play a leading role in the project, setting up the experimental environment, liaising with other European partners, preparing deliverables, co-supervising the PhD students associated with the project, carrying out original research and producing reports, papers and software packages. Applicants should have a PhD (or equivalent) in a related topic in computer vision/pattern recognition/imaging or similar and a good first degree (or equivalent) in Engineering or Physics or Mathematics or Computer Scienceand possess xperience in 3D computer vision and/or light propagation through scattering media, and/or photometric stereo technology. Some hardware skills in setting up image capturing rigs is desirable. There may be the possibility of spending time visiting other members of the consortium in other European countries to facilitate research collaboration, including ITI-CERTH in Thessaloniki, Greece. Excellent programming skills in C/C++ are essential and Matlab skills desirable. Please contact Professor Maria Petrou, [email protected] for further information on the post. Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number EN20110007 SW into “Keywords”).
    [Show full text]
  • AN APPRECIATION of PROFESSOR MARIA PETROU Freng Maria
    AN APPRECIATION OF PROFESSOR MARIA PETROU FREng Maria joined the University of Surrey in 1988 as Lecturer in Image Analysis, after a brief career as a postdoctoral research fellow at the University of Oxford, University of Reading, and the Rutherford Appleton Laboratory. She played a key role in the development of the Centre for Vision, Speech and Signal Processing, and deserves all the credit for its growth in the areas of Remote Sensing and Medical Imaging. In recognition of her outstanding research achievements, she was rapidly promoted to increasingly senior academic positions, culminating in Professor of Image Analysis in 1998. By being the first-ever female engineering Professor at the University of Surrey, her appointment to chair made history. She enjoyed teaching as much as research. Her Wiley book on Image Analysis, published in 1999, was very popular, and was reprinted several times. In the scientific community, Maria is famous for her outstanding contributions to image analysis and its application, especially to remote sensing. She proposed a completely novel image representation for image matching known as trace transform. She developed advanced techniques for edge and line detection, for texture analysis and for image segmentation. She was a specialist in colour image processing and developed an award winning stereo-based 3D mensuration system for the stone industry. The number of citations to her work runs into thousands. She also contributed enthusiastically and tirelessly to the activities of professional societies in various capacities. She served as Chairman of the British Machine Vision Association during 1999-2002. She was on the editorial board of several scientific journals, including IEEE Transactions on Image Processing (1994-98).
    [Show full text]
  • IAPR Newsletter, TC-12 Activities Summary Pp. 15, Including Chalearn LAP-Hupba
    THE INTERNATIONAL ASSOCIATION FOR PATTERN RECOGNITION www.iapr.org Volume 39, Number 4 October 2017 NewsletterFrom the Editor’s Desk: Industry or academia? IN THIS by Arjan Kuijper [email protected] Issue http://www.gris.tu-darmstadt.de/~akuijper/ From the Editor's Desk For most PhD students, somewhere three years of postdoc experience, CALLS for PAPERS in the dark recesses of their the recruiter asked me the Calls from the IAPR ExCo, minds lurks the question, “Will confrontational question: “So you Education Committee, and I stay in academia or move to spent seven years in academia: Industrial Liaison Committee industry?” When I have asked four years as PhD student and three Calls for Nominations for Awards to people this question–either after years as postdoc. What exceptional be Presented at ICPR2018: their Bachelor’s/Master’s, or after knowledge and skills do you bring K-S Fu, J. K. Aggarwal, Maria completing their PhD–they mostly with you that exceed those of Petrou, and IAPR Fellows don’t know. While industry seemed someone who has worked here for Getting to Know...Massimo to have a bad name, many of them these seven years already?” So Tistarelli, IAPR Fellow still identified it as the best option. Plan B wasn’t that easy for me (and “The chances of staying in academia I had to stick to Plan A and stay IAPR...the Next Generation: Silvia are very small, so I guess I’ll move in academia….). As far as I can Cascianelli to industry,” was something I often recall, the general feeling for some Benchmark Datasets heard.
    [Show full text]
  • Maria Petrou: Full List of Publications
    Maria Petrou: Full list of publications Refereed Journal Publications 1. M Petrou, 1980. \On the haloes and the warping of galaxies". Monthly Notices of the Royal Astronomical Society, Vol 191, pp 767{775. 2. M Petrou, 1981. \On the local mass to light ratio in galaxies". Monthly Notices of the Royal Astronomical Society, Vol 196, pp 933{942. 3. M Petrou, 1983. \Models of elliptical galaxies I: Oblate spheroids with anisotropy". Monthly Notices of the Royal Astronomical Society, Vol 202, pp 1195{1207. 4. M Petrou, 1983. \Models of elliptical galaxies II: Oblate spheroids with realistic rotation curves". Monthly Notices of the Royal Astronomical Society, Vol 202, pp 1209{1219. 5. T Papayannopoulos & M Petrou, 1983. \On the nature of orbits in realistic bar potentials". Astronomy & Astrophysics, Vol 119, pp 21{27. 6. M Petrou, 1984. \The response density of irregular orbits in barred potentials". Monthly Notices of the Royal Astronomical Society, Vol 211, pp 283{295. 7. M Petrou, 1984. \How strong can a simple bar model be?". Monthly Notices of the Royal Astronomical Society, Vol 211, pp 1P{5P. 8. J Binney & M Petrou, 1985. \Structure of box-shaped bulges and other spheroidal components". Monthly Notices of the Royal Astronomical Society, Vol 214, pp 449{462. 9. M Petrou & T Papayannopoulos, 1986. Can galactic bars end well before coro- tation?". Monthly Notices of the Royal Astronomical Society, Vol 219, pp 157{166. 10. M Petrou, 1987. \Self-consistent models of box ellipticals". Monthly Notices of the Royal Astronomical Society, Vol 226, pp 111{122. 11. Mason, D. C., Corr, D.
    [Show full text]
  • BMVA News Volume 25 Number 1 of MV Than from Any Idea That It Will Be Eschewed in Favour in Remembrance of Maria Petrou of Ultrasonic Or Radar Sensors
    The Newsletter of the British Machine Vision Association and Volume 25 Number 1 Society for Pattern Recognition September 2014 Editor: Professor Roy Davies Department of Physics Royal Holloway, University of London Egham, Surrey, TW20 0EX tel: +44(0)1784 435064 http://www.bmva.org/ email: [email protected] News1 is published every three months. addition, VSD reported that “Global spending on robotics is Contributions on any activity related to expected to more than quadruple from just over $15 billion machine vision or pattern recognition are eagerly sought. in 2010 to approximately $67 billion by 2015”, which These could include reports on technical activities such as should have further beneficial knock-on effects for machine conferences, workshops or other meetings. Items of timely vision (MV). Hence it was with some curiosity and potential or topical interest are also particularly welcome; these might alarm that I read IEEE Spectrum’s report that “as part of its include details of funding initiatives, programmatic reports current restructuring, Microsoft decided to shut down its from ongoing projects and standards activities. Items for the robotics group”. Knowing that robotics is a key application next edition should reach the Editor by 10 December 2014. area for MV, one wonders what the rationale for this closure might be, and whether MS’s highly impressive vision wing could also be hit. Before rushing to any conclusions on this, it is as well to note that MS is in eternal battles with other Contents large players such as Google, which itself has made huge investments in the development of driverless cars.
    [Show full text]
  • The Road to Intelligence☆
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Image and Vision Computing 30 (2012) 474–475 Contents lists available at SciVerse ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis The road to intelligence☆ Maria Petrou ⁎ Informatics and Telematics Institute CERTH, Greece Imperial College London, United Kingdom article info abstract Keywords: It is argued that robotic platforms are the way forward towards building intelligent systems, where multiple Intelligent systems sensors and manipulation are used for cognitive processes. It is also argued that the cue for developing the System architecture right architecture for such a system is human language. Tower of knowledge © 2012 Elsevier B.V. Open access under CC BY-NC-ND license. Human language For several years now we have been trying to make intelligent directions, all of them leading to the same end: platforms! Robotics! vision systems. To facilitate the process, we have also postulated the Now, we need to put all our clever systems together and start treating use of prior knowledge which we incorporate in the top down them as integral subparts of a much more complex architecture. Will approaches. To acquire that knowledge we have used the sledge ham- the incorporation of smell complicate things? Perhaps, to begin with, mer of statistics, with, sometimes, hundreds of examples and counter but it will help solve many problems. How else can you distinguish a examples. Alternatively, we have simply inserted it in the form of beautifully made plastic banana from a real one? Will the incorporation rules or constraints.
    [Show full text]
  • Invited Lecture
    Distinguished Lecturer Series “Leon the Mathematician” at the Department of Informatics, Aristotle University of Thessaloniki Greece (http://dls.csd.auth.gr) - CIS011 Greek Computational Intelligence Chapter - IAPR Greek Association for Image Processing and Digital Media INVITED LECTURE Maria Petrou (Fellow of the Royal Academy of Engineering, IET, and IAPR, and a Distinguished Fellow of the British Machine Vision Association, Professor in Signal Processing in the Electrical and Electronic Engineering Department at Imperial College, London and Director of the Informatics and Telematic Institute, Centre of Research and Technology Hellas) is going to lecture on The Tower of Knowledge: A generic system architecture at the Auditorium of the Central Library of the Aristotle University of Thessaloniki on Tuesday May 3rd, 2011 at 16:00. ABSTRACT The lecture will present a new system architecture, called Tower of Knowledge (ToK), inspired by human language. The ToK architecture is a generic framework that allows the combination of static and dynamic information, as well as expert knowledge. It will be exemplified in one of its simplest forms, where statistical feature distributions and logic rules, concerning the definition of a component, are combined to label the components of buildings within a probabilistic framework. The maximum likelihood method of label assignment is modified by being multiplied with a function, called utility function, which expresses the information coming from the logic rules programmed to the system. The logic rules are designed to define an object/component by answering the questions “why” and “how”, referring to the actions in which a particular object may be observed to participate and the characteristics it should have in order to be able to participate in these actions.
    [Show full text]
  • BMVA News Volume 26 Number 3 Times Came to My Notice: All Had Their Own Slant on It, and Professor Ioannis Pitas Has Moved! None Spouted Bad Science Or Hysteria
    The Newsletter of the British Machine Vision Association and Volume 26 Number 3 Society for Pattern Recognition March 2016 Editor: Professor Roy Davies Department of Physics Royal Holloway, University of London Egham, Surrey, TW20 0EX tel: +44(0)1784 435064 http://www.bmva.org/ email: [email protected] News1 is published every three months. Editorial: Strategies for Thinking – from Contributions on any activity related to Deduction to Intuition machine vision or pattern recognition are eagerly sought. These could include reports on technical activities such as Suddenly the world seems to be buzzing with the exploits conferences, workshops or other meetings. Items of timely and endeavours of scientists. Indeed, the capabilities of the or topical interest are also particularly welcome; these might Google autonomous car have been widely known and include details of funding initiatives, programmatic reports accepted for quite some time, and the disasters that I from ongoing projects and standards activities. Items for the predicted in that quarter haven’t happened; interestingly, the next edition should reach the Editor by 10 June 2016. first accident caused partly by the car failed to make much of a shock wave, even though the apportionment of blame doesn’t seem to have been resolved with any generality. “What caused the accident?” you may validly ask. Apparently, it was the lack of any realistic algorithm for the bluffs that drivers make with each other when road lanes Contents converge, and the car didn’t appreciate that larger vehicles such as busses have to be allowed to win priority. Editorial: Strategies for Thinking – from Deduction to If vision has been centre stage in the public mind for a Intuition .........................................................................
    [Show full text]