Christian Richardt

Most Recent Affiliation(s):

• University of Bath, Postdoctoral Researcher

Other / Past Affiliation(s):

• Max Plank Instituit

• INRIA

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Bio:

• 2023

  Christian Richardt is a Research Scientist at Reality Labs Research in Pittsburgh. He was previously a Reader (=Associate Professor) and EPSRC-UKRI Innovation Fellow in the Visual Computing Group, the CAMERA Centre and REVEAL at the University of Bath. His research interests cover the fields of image processing, computer graphics and computer vision, and his research combines insights from vision, graphics and perception to reconstruct visual information from images and videos, to create high-quality visual experiences with a focus on 6-degree-of-freedom VR video.

  Christian was previously a postdoctoral researcher working on user-centric video processing and motion capture with Christian Theobalt at the Intel Visual Computing Institute at Saarland University and also in the Graphics, Vision and Video group at Max-Planck-Institut für Informatik in Saarbrücken, Germany. Previously, he was a postdoc in the REVES team at Inria Sophia Antipolis, France, working with George Drettakis and Adrien Bousseau, and he interned with Alexander Sorkine-Hornung at Disney Research Zurich where he worked on Megastereo panoramas.

  Christian graduated with a PhD and BA from the University of Cambridge in 2012 and 2007, respectively. His PhD in the Computer Laboratory’s Rainbow Group was supervised by Neil Dodgson. His doctoral research investigated the full life cycle of videos with depth (RGBZ videos): from their acquisition, via filtering and processing, to the evaluation of stereoscopic display.

  SIGGRAPH 2015

  Christian Richardt is a postdoctoral researcher at the Intel Visual Computing Institute at Saarland University and also in the Graphics, Vision and Video group at Max-Planck-Institute for Informatics in Saarbrücken, Germany. He was previously a postdoctoral fellow in the REVES team at Inria Sophia Antipolis, France, and graduated with a PhD and BA from the University of Cambridge, England, in 2012 and 2007, respectively. His research combines insights from vision, graphics and perception to extract and reconstruct visual information from images and videos, to create high-quality visual results and experiences.    

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Course Organizer:

• SIGGRAPH 2015, "User-Centric Computational Videography"
• SIGGRAPH 2017, "Video for Virtual Reality"
• SIGGRAPH 2019, "Capture4VR: From VR Photography to VR Video"