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The CVMLab has been active since the early 70's. The group's initial research activities concentrated on image enhancement and restoration techniques, with a particular focus on medical imagery. Later, the main efforts have been devoted to more advanced image processing functions, involving scene segmentation and shape characterization. In the early 80's, a stream of research has been actively followed in the field of parallel architectures for vision and image processing. The group has then developed skills in high-level image processing domains, such as the management of knowledge description and learning capabilities for vision tasks. Recently, new research areas have been activated on the application of Deep Learning methods for challenging Computer Vision problems, Human-Computer Interaction, Eye Tracking applications, and 3D modelling techniques for promotion and accessibility of cultural heritage in the field of Digital Humanities.