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Convex Optimization Methods for Image-based 3D Reconstruction (Prof. D. Cremers)

  • Datum: 07.11.2017
  • Uhrzeit: 14:30 - 15:30
  • Vortragender: Prof. Dr. Daniel Cremers
  • Department of Computer Science, Technische Universität München (TUM)
  • Raum: New Lecture Hall, Room B 0.32
  • Gastgeber: MPQ
The reconstruction of the 3D world from a moving camera is among the central challenges in computer vision.

While traditional approaches have been focused on computing correspondence and 3D structure for a sparse set of feature points, more recent approaches aim at directly computing dense geometric surfaces using all available image data. In my talk, I will present some recent developments on convex formulations for dense reconstruction from multiple images or multiple videos. Furthermore, I will present real-time capable direct methods for reconstructing the world from handheld color or RGB-D cameras. Applications include 3D photography, free-viewpoint television and driver assistance.

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