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About

Emanuele Trucco is a distinguished computer vision researcher whose work spans robotic vision, autonomous underwater vehicles, and medical imaging. His career reflects a remarkable breadth of expertise, from foundational theory to cutting-edge applied systems. Trucco's association with the landmark textbook *Computer and Robot Vision* by Haralick and Shapiro — a work that has garnered over 470 citations — underscores his deep grounding in classical computer vision fundamentals. A particularly productive strand of his research addresses autonomous underwater vehicle (UUV) control, where he pioneered visual servoing techniques enabling unmanned submarines to maintain precise station keeping relative to seabed targets despite disruptive sea currents. These contributions, published across multiple venues in 2001–2002 and collectively accumulating over 130 citations, represent significant advances in marine robotics. His earlier work on 3D vision systems and active inspection further demonstrates a long-standing commitment to applied geometric vision. More recently, Trucco has extended his impact into medical imaging, contributing self-supervised monocular depth estimation methods for colonoscopy cameras — technology with real potential to reduce the alarming rate of missed polyps in colorectal cancer screening. Across three decades, his research consistently bridges rigorous computer vision methodology with life-improving practical applications.