The nominating institution TU Munich on the breakthrough:

Reconstructing our 3D world from moving cameras is at the heart of computer vision. It fuels endless applications ranging from augmented reality and computer animation over 3D perception for self-driving cars to digital heritage and medical imaging. Daniel Cremers made groundbreaking advances – he introduced the first convex formulations that guarantee provably optimal dense reconstructions, he introduced highly efficient algorithms, and he pioneered direct methods for tracking moving cameras.

Tags: Artificial Intelligence, Digitalisation, Engineering, Mobility & Transportation, Robotic.

Daniel Cremers

Chair of Computer Vision & Artificial Intelligence, Technical University of Munich

Daniel Cremers studied physics and mathematics in Heidelberg and New York. After his PhD in Computer Science he spent three years in LA and Princeton. In 2005 he became professor in Bonn. Since 2009 he holds the Chair of Computer Vision and AI at TU Munich. He received numerous awards, including the Gottfried Wilhelm Leibniz Award 2016. He is member of the Bavarian Academy of Sciences and Humanities. With an h-index of 92 and over 39000 citations to his over 450 papers, Prof. Cremers is among the most influential scientists in Germany. He co-founded several companies, most recently Artisense.

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