The Computer Vision & Multimedia Laboratory (CVML) has been active in the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia since the early 70s. The group's initial research activities concentrated on image enhancement and restoration techniques, with a particular focus on medical imagery. Subsequently, the group's main efforts have been devoted to more advanced image processing functions, involving scene segmentation and shape characterization; a broad background has been acquired on low-level and intermediate-level vision tasks involving grey-level statistics and structural descriptions. Since the early 80s a new stream of research has been actively followed in the field of parallel architectures for vision and image processing. The group has meanwhile developed skills in high-level image processing domains, such as the management of knowledge description and learning capabilities for vision tasks.
New research areas have been activated on Human Identification from Machine Learning to Artificial Intelligence, Deep Reinforcement Learning for collaborative robotics, Proteomics, Eye Tracking for human-computer interaction and biometrics, Digital Heritage and Digital Humanities exploiting 3D modelling techniques to promote dissemination and accessibility of cultural heritage. view more
Projects on gaze-based biometrics and convolutive neural networks applications to the classification and segmentation of biomedical images are now active. view more
Best PhD thesis, best paper, best student recognition, top 40 under 40, ... for a full list
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“La città virtuale con i tetti rossi come nel ’500. Il laboratorio di Computer Vision dell’ateneo ricostruisce Pavia, case e abitanti del passato” - da la Provincia Pavese - 21 dicembre 2017 view more
Roberto Marmo parla di Intelligenza Artificiale e Social Media
IEEE ETFA 2018 - 23rd Int. Conf. on Emerging Technologies and Factory Automation
Marco Porta is co-chair of Track 6 - Computer Vision, Computational Intelligence, and Modern Heuristics in Automation
Research and development of eye-tracking and multimodal annotation techniques view more
