Dense 3D Reconstruction with a Hand-held Camera

Pattern Recognition (Proc. DAGM), Springer, LNCS, 2012
Abstract: In this paper we present a method for dense 3D reconstruction from videos where object silhouettes are hard to retrieve. We introduce a close coupling between sparse bundle adjustment and dense multi-view reconstruction, which includes surface constraints by the sparse point cloud and an implicit loop closing via the dense surface. The surface is computed in a volumetric framework and guarantees a dense surface without holes. We demonstrate the flexibility of the approach on indoor and outdoor scenes recorded with a commodity hand-held camera.

Other associated files : ummenhofer2012Dense3D.pdf [9.2MB]  

Images and movies


BibTex reference

  author       = "B. Ummenhofer and T. Brox",
  title        = "Dense 3D Reconstruction with a Hand-held Camera",
  booktitle    = "Pattern Recognition (Proc. DAGM)",
  series       = "LNCS",
  year         = "2012",
  publisher    = "Springer",
  url          = "http://lmb.informatik.uni-freiburg.de/Publications/2012/UB12"

Other publications in the database