IMAGE PROCESSING & APPLICATIONS

The group investigates high-level, problem-oriented methods, algorithms and applications related to image processing, machine vision and computer vision.

The research activity on methods and algorithms covers a wide range of topics, including, but not limited to:

• analysis and development of visual descriptors for visual recognition (including shape, texture and colour descriptors);
• visual perception (ability to interpret the surrounding environment);
• rendering methods for solid models;
• virtual and augmented reality, image processing tools for shape acquisition, analysis and reconstruction;
• Deep Learning.

There is strong interest in the applications of the above methods in many different areas. The following, in particular, are strongly relevant to the group:

• product design and manufacturing (e.g., product inspection, defect detection, surface analysis and grading, automated part counting);
• virtual and augmented reality for product design;
• conservation and valorisation of the artistic and cultural heritage (such as virtual experience for artworks, reconstruction and analysis of archaeological artefacts for classification and archiving);
• thermal imaging and thermal image analysis;
• image processing methods for biomedical applications such as prothesis design, image interpretation and computer-assisted clinical decision-making;
• emotion recognition for user experience; motion analysis for risk assessment;
• forensic imaging;
• image processing methods for photogrammetry, laser scanning and shape reconstruction.

Keywords:
Machine vision; Visual recognition; Product inspection; Segmentation; 3D reconstruction.

ERC Keywords:

• PE6_8 Computer graphics, computer vision, multimedia, computer games;
• PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)