[ICCV'23] Marc Pollefeys: Visual localization and mapping from classical to modern

[ICCV'23] Marc Pollefeys: Visual localization and mapping from classical to modern

HomeSAIR Lab[ICCV'23] Marc Pollefeys: Visual localization and mapping from classical to modern
[ICCV'23] Marc Pollefeys: Visual localization and mapping from classical to modern
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Marc Pollefeys is professor of computer science at ETH Zurich and director of the Microsoft Mixed Reality and AI Lab in Zurich, where he works with a team of scientists and engineers to develop advanced perception capabilities for HoloLens and Mixed Reality. He is best known for his work in 3D computer vision, as he was the first to develop a software pipeline to automatically convert photos into 3D models, but he also works on robotics, graphics, and machine learning problems. Most recently, his academic research has focused on combining 3D reconstruction with semantic understanding of scenes. He was elected a Fellow of the IEEE in 2012. He received his PhD from KU Leuven in 1999 and was a professor at UNC Chapel Hill before joining ETH Zurich. Other notable projects he worked on include real-time 3D scanning with mobile devices, a real-time pipeline for 3D reconstruction of cities with vehicle-mounted cameras, camera-based self-driving cars, and the first fully autonomous vision-based drone.

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