VISIONTRAIN · Computational and cognitive vision systems : A training European Network
6РП — Действия „Мария Кюри“
- Период
- 2005-05-01 → 2009-04-30
- Финансиране от ЕС
- 3 461 991 €
- Участници
- 13
- Схема
- RTN
Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.
Накратко на български
Зрителните системи се изследват чрез математически модели и опити, за да се разбере как мозъкът разпознава форми, обекти и движение. Това помага за съкращаване на разликата между биологичното зрение на човека и компютърните методи за анализ на изображения.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Final Activity Report Summary - VISIONTRAIN (Computational and cognitive vision systems : a training European network)
The VISIONTRAIN research training network has addressed the problem of understanding vision from both computational and cognitive points of view. The research approach is based on formal mathematical models and tools and on the thorough experimental validation of these models. Under this framework the VISIONTRAIN researchers have contributed to reduce the gap existing today between the biological principles of visual perception and computational approaches to vision and image understanding. To achieve such an ambitious goal, the eleven partners involved in the network work cooperatively. These partners were: The Institut National de Recherche en Informatique et Automatique (Grenoble, France), Scuola Internazionale Superiore di Studi Avanzati (Trieste, Italy), The Malmo University (Sweden), University of Copenhagen (Denmark), The Technion (Haifa, Israel), The University of Oxford (United Kingdom), Univerza v Ljubljani (Slovenia), Ecole Polytechnique Federale de Lausanne (Switzerland), The Czech Technical University in Prague, Universiteit Utrecht (The Nederlands), and The University of Heidelberg (Germany). The targeted research topics were the followings: (i) computational theories and methods for low-level vision, (ii) motion understanding from image sequences, (iii) learning and recognition of shapes, objects, and categories, (iv) cognitive modelling of the action of seeing, and (v) functional imaging for observing and modelling brain activity. The VISIONTRAIN network fully funded eleven PhD students (33 person-years) and eight post-doctoral fellows (9 person-years). Each PhD student collaborated with at least two other network partners. During the lifetime of the project, the VISIONTRAIN researchers organised three thematic schools: Optimisation Methods in Computer Vision, 12-17 March 2006; Computational and Neuro-physiological Models for Visual Perception, 25-30 March 2007, and Understanding Behaviour from Video Sequences, 9-14 March 2008. All The schools were attended by all the VISIONTRAIN researchers as well as by researchers from other institutions. The thematic schools were organised at the prestigious Les Houches Physics School, France.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Visiotrain addresses the problem of understanding vision from both computational and cognitive points of view. The research approach will be based on formal mathematical models and on the thorough experimental validation of these models. Under this framework, we intend to reduce the gap that exists today between biological vision (which is by large not yet understood) and computer vision (which is biologically inspired and whose flexibility, robustness and autonomy remain to be demonstrated).In order to achieve these ambitious goals, 11 academic partners plan to work cooperatively on a number of targeted research objectives:(i) computational theories and methods for low-level vision,(ii) motion understanding from image sequences,(iii) learning and recognition of shapes, objects and categories,(iv) cognitive modelling of the action of seeing, and(v) functional imaging for observing and modelling brain activity.In practice, these objectives will be achieved under the form of 11 PhD theses, each of one achieved collaboratively between three teams, as well as within-network mobility of 12 person-years of experienced researchers, each one of theses researchers having the opportunity to visit 2 other teams in the network for 6-month periods of time. The training programme includes participation to proof-of-concept achievements, annual thematic schools, industrial meetings, application of patents, attendance at conferences, and a women and science activity.
Оригинален текст от CORDIS (на английски).
Участници
- INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE - INRIA · SOPHIA ANTIPOLISКоординаторФранция
- CZECH TECHNICAL UNIVERSITY IN PRAGUE · PRAHA 6Чехия
- ECOLE POLYTECHNIQUE FéDéRALE DE LAUSANNE · LAUSANNEШвейцария
- IT-UNIVERSITETET I KOBENHAVN · COPENHAGENДания
- Københavns Universitet · KOBENHAVNДания
- MALMOE UNIVERSITY · MALMOНиво градШвеция
- RUPRECHT-KARLS-UNIVERSITÄT HEIDELBERG · HEIDELBERGГермания
- SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI · TRIESTEИталия
- TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY · HAIFAИзраел
- THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OXFORDОбединеното кралство
- UNIVERSITEIT UTRECHT · UTRECHTНидерландия
- UNIVERSITY OF MANNHEIM · MANNHEIMНиво градГермания
- UNIVERZA V LJUBLJANI · LJUBLJANAСловения
Връзки
Данни: CORDIS, © Европейски съюз
