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Dati Insegnamento
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Manifesto
Dati Insegnamento
Contesto
Anno Accademico 2023/2024
Corso di Studi Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology
Anno di Corso 1

Scheda Insegnamento
Codice Identificativo 061635
Denominazione Insegnamento 3D STRUCTURE FROM VISUAL MOTION: STRUCTURE FROM MOTION, VISUAL ODOMETRY, AND VISUAL SIMULTANEOUS LOCALIZATION AND MAPPING
Tipo Insegnamento MONODISCIPLINARE
Crediti Formativi Universitari (CFU) 5.0
Programma sintetico Nowadays we are experiencing a resurgence of interest in the traditional methods of Computer Vision: while the dazzling success of deep learning has inspired the research throughout the last decade, the geometry of vision has never ceased to be a fertile ground for investigation. In this context, the simultaneous estimation of the unknown motion of a camera (or the vehicle/robot/human this camera is mounted upon) while reconstructing the 3D structure of the observed world is a challenging task deeply studied in the literature. The course aims at presenting classic and modern techniques to simultaneously estimate the 6DoF unknown motion of a camera while reconstructing the 3D structure of the observed world to be applied in engineering and scientific fields such as 3D reconstruction, autonomous robot navigation, aerial/field surveying, unmanned vehicle maneuvering, augmented reality, extended reality, etc. This course has been intentionally designed as an interdisciplinary, Deep Learning Free, course on Advanced Techniques in Computer Vision. At the end of the course, the students will learn both the theoretical foundations and practical implications of the discussed topics.
Settori Scientifico Disciplinari (SSD) --

Dettaglio
Scaglione Nome Programma dettagliato
Da (compreso) A (escluso)
A ZZZZ Matteucci Matteo, Arrigoni Federica, Caglioti Vincenzo, Magri Luca, Marcon Marco
manifestidott v. 1.10.0 / 1.10.0
Area Servizi ICT
22/06/2024