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Daniel Cremers obtained a PhD in Computer Science from the University of Mannheim in 2002. He then spent two years as a postdoctoral researcher at the University of California in Los Angeles and one year as a permanent researcher at Siemens Corporate Research, in Princeton (US). From 2005 until 2009 he was an associate professor at the University of Bonn, Germany. Since 2009 he holds the chair for Computer Vision and Pattern Recognition at the Technical University of Munich. His research on computer vision algorithms has been supported by the ERC through a Starting Grant, a Proof of Concept, and a Consolidator Grant. Prof. Cremers and colleagues believe that novel image analysis techniques will be a major enabler and driving force behind next-generation technologies, enhancing everyday life and opening up radically new possibilities. They intend to achieve this by developing algorithms for reconstructing and analyzing the 3D structure of our world. With the project "3D Reloaded", Prof. Cremers will develop algorithms for 3D reconstruction from standard and RGB-D cameras, algorithms for 3D shape analysis, and shape priors for 3D reconstructions. The project will advance the state of the art in geometric reconstruction and analysis.

Photo ©: Andreas Heddergott (TU München)