Computer science has evolved enormously, providing a very interesting insight over time. I remember, for example, working with a mini-computer that had 32kb of RAM, which today seems unbelievable.
We are already celebrating the 60th anniversary of Artificial Intelligence (AI). It was in 1956 that a group of teachers met in the USA and defined the term of Artificial Intelligence.
The truth is that technological evolution does not slow down. And the applied research domain CVIG – Computer Vision, Interaction and Graphics does not either. In September of 2015, CVIG was constituted by a team of 5 people. We managed to grow, reaching by now a total of 17 people, with different backgrounds and nationalities.
We have leveraged a large number of projects, especially at the national level. However, in order to foster knowledge and keep CVIG at the forefront of technological development, we want to participate in more long-term international projects, projects that enhance research and the learning of cutting-edge technologies. Thus, the CVIG road map will be more focused on European projects.
Future of the CVIG – scientific research areas
The core activity of CVIG is to serve as an interface, especially for companies, in 4 key areas:
- computer graphics
- computer vision
- human-machine interaction,
- artificial intelligence.
We have a legacy to keep. Our research center was born precisely in this area of computer graphics. We have identified some areas that we think are important so we can keep this legacy alive. We want to be representative at the national and international level of the best that is done in these areas: computer vision, artificial intelligence, virtual reality, augmented reality, mixed reality.
We then identified in our roadmap for this period up to 2025 the following basic scientific areas: computer vision, computer graphics, human-machine interaction – the initial areas we had worked on – but now with more reinforcement in the area of Artificial Intelligence.
From this, we define research lines as the areas of artificial vision, immersive environments, image processing, techniques of visual analytics, as well as virtual assistants – which we had previously developed but now with another perspective, a new potential.
Future of the CVIG – application areas
We have opted for the applications in industry 4.0, in the algorithms of optical inspection, in the systems of autonomous driving.
In the field of computer vision, we have developed a combination of AI techniques, and now we are introducing technologies to market in the area of objects and people recognition.
The AGATHA project is an interesting example. It targets judicial police and criminal investigation police, a project in which two companies and the University of Évora also participate.
We have been very successful in the field of industry, and we want to have the same success in the health area. For many years I worked in the area of medical image analysis and noticed a paradigm shift – especially in the area of radiology: a shift from the qualitative paradigm to the quantitative paradigm.
Thus, within this area, the CVIG will focus on the quantitative image, mainly in the identification of biomarkers of the medical image to relate them with clinical variables, and also in 3D reconstruction, as a support for the study of organs of the body. I think that is the way to go.
I have been regularly attending the largest conferences in the world in terms of medical imaging, such as the European Congress of Radiology. At these conferences, there is a big bet on this component of the quantitative biomarkers of medical imaging.
It is believed that between 5 and 10 years all imaging analyzes will be performed by machines. I do not know if we will be very convinced by this reality or not, but it is a tendency to take into account. From my point of view, the tools for automatic analysis of medical imaging are increasingly needed.
Still, to mention in our road map of the future we have a bet in the area of cultural heritage, digital entertainment, education, and marketing.
This is the CVIG’s strategy for the near future.
About the author:
Miguel Guevara | Coordenador de Desenvolvimento @CCG, D.I.A. CVIG
Miguel Guevara has a degree in Mathematics and a Ph.D. in Technical Sciences. He is Senior Researcher and the Development Coordinator of Applied Research Domain CVIG. He has experience as a professor and researcher of more than 28 years in the area of Computer Science and has published more than 80 papers/articles of a scientific nature.