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.
Images and movies
BibTex reference
@InProceedings{UB12, 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://lmbweb.informatik.uni-freiburg.de/Publications/2012/UB12" }