Computer Vision Polytechnic University of Catalonia

Overview

This research area has been growing exponentially since the 1980s due to the great complexity of the problem. Today, it is an important field of research in computer science, mathematics, physics and engineering in general. In the last decade, progress in this area has been huge, for several reasons:

• Results in the development of low cost high performance cameras.
• The introduction of these cameras in many areas of daily life as well as their integration into multiple mobile devices.
• The development of computational learning techniques that have improved the efficiency of algorithms that automatically extract information from images.
• The possibility of access to huge databases of images on the Internet.

This Computer Vision programme is offered by the Polytechnic University of Catalonia.

Professional opportunities

This master’s degree will provide a profile with skills and expertise applicable to multiple fields. Computer vision is a discipline that allows rapid applicability of all theoretical knowledge, providing a cross-disciplinary engineering profile that can be integrated in multiple systems of different applications such as retrieving images by content, interpreting and automatically annotating videos, extracting three-dimensional information from multiple views and improving the appearance of image content. It is also a technological industry that requires professionals with a high level of training and has scientific interest that progresses very fast.

Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.

• They will be able to identify key concepts and apply the most suitable basic techniques to solve problems arising in the field of computer vision.
• They will have developed the skills to devise alternative solutions to complex vision problems and to create prototypes to demonstrate the validity of the systems proposed.
• They will have acquired the knowledge to select the most suitable software tools and training setups for developing solutions to problems arising in the field of computer vision.
• They will have learnt to plan, implement, manage and evaluate projects addressing specific problems in different areas of computer vision.
• They will be able to define in detail and correctly apply the technology transfer process for innovation in the field of computer vision.
• They will know how to apply the correct research methodology, select the appropriate techniques and information sources, and organise specific resources for research in the field of computer vision.