Computer Vision Centre (CVC)
DescriptionThe Computer Vision Centre (CVC) is a not for profit institute, leader in research and development in the field of computer vision. The centre was established in 1995 by the Government of Catalonia and the Universitat Autònoma de Barcelona with the purpose of generating quality knowledge in the field and transferring added-value technology to the industry and to society. Over 130 researchers and specialists from around the world work at the CVC.
Computer vision is a horizontal technology containing several applications such as biomedicine, mobility, safety, production, society, media, etc. Activities carried out in CVC include: Cutting-edge research; technology transfer and training.
The strategic lines defining the centre's mission can be resumed in a model which combines scientific and technology talent to facilitate a constant flow of basic research and knowledge transfer to society.
Links to the UABThe Computer Vision Centre is a public-run consortium formed by the Government of Catalonia and the Universitat Autònoma de Barcelona. The CVC was created in 1994 by Decree 226/1994, of 13 July, on the integration of the Government of Catalonia into the consortium of the Computer Vision Centre and approved by Statute (DOGC 1950, of 21 September 1994).
Since its creation, CVC includes the Image Treatment Service, a scientific and technical service offered by the UAB. The centre is also a university research institute affiliated to the UAB according to the order UNI/76/2005, of 2 February (DOGC4338, of 8 March 2005).
Strategic research areasAdvanced Driver Assistance Systems. Development of systems to make driving tasks safer for the driver by interpreting the vehicle's surroundings.
Colour in Context. Creation of computer algorithms simulating human perception and the categorisation of colour.
Document Analysis. Analysis of documents by combining image analysis and pattern recognition techniques to process and extract information from documents from different sources.
Image Sequence Evaluation. Aims to understand and interpret human behaviour in images and in all other multimedia supports.
Medical Imaging. Development of significant information on human organs at structural, anatomic and functional level to serve as a guide for interventional procedures, scheduling of operations and monitoring of the evolution of diseases in patients.
Object Recognition. Design and development of robust and rapid systems capable of recognising persons and objects to be used in non controlled environments.
Interactive and Augmented Modelling. Development of mathematical tools and of interactive and augmented reality visualisation environments. These devices are applied mainly in the field of biomedical image processing.
Machine Vision. Development of computer vision applications in industries.
Services of interest to the UAB CEI communityScientific and Technical Services
Jobs offers and calls for grants
CVC Multimedia Gallery
Euros in budget
Knowledge Transfer Projects