Image to Geometry Projection

Information

• Publication Type: Bachelor Thesis
• Workgroup(s)/Project(s):
  • Rendering and Modeling
• Date: 2013
• Date (Start): 10. October 2012
• Matrikelnummer: e0925172
• First Supervisor:
  • Murat Arikan
  • Michael Wimmer
• Keywords: optical flow

Abstract

The projection of images onto a 3D model is a widely applicable way to acquire appearance information of an object. The first step of this procedure is the alignment of the images on the 3D model. While any reconstruction pipeline aims at avoiding misregistration by improving camera calibrations and geometry, remaining errors show up either as ghosting or as discontinuities at transitions from one camera view to another. Correcting the local misalignment by determining the necessary displacement offers a solution to aforementioned artifacts.

Additional Files and Images

Weblinks

No further information available.

BibTeX

@bachelorsthesis{hafner_christian-2013-oflow,
  title =      "Image to Geometry Projection",
  author =     "Christian Hafner",
  year =       "2013",
  abstract =   "The projection of images onto a 3D model is a widely
               applicable way to acquire appearance information of an
               object. The first step of this procedure is the alignment of
               the images on the 3D model. While any reconstruction
               pipeline aims at avoiding misregistration by improving
               camera calibrations and geometry, remaining errors show up
               either as ghosting or as discontinuities at transitions from
               one camera view to another. Correcting the local
               misalignment by determining the necessary displacement
               offers a solution to aforementioned artifacts.",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  keywords =   "optical flow",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/",
}