Mcmc Linked with Implicit Shape Models and Plane Sweeping for 3d Building Facade Interpretation in Image Sequences

نویسندگان

  • Helmut Mayer
  • Sergiy Reznik
چکیده

In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with Plane Sweeping (Werner and Zisserman, 2002) for the 3D interpretation of building facades, particularly for determining windows and their 3D extent. The approach starts with a (possibly uncalibrated) image sequence, from which the 3D structure and especially the vertical facades are determined. Windows are then detected via ISM. The main novelty of our work lies in using the information learned by the ISM also to delineate the window extent. Additionally, we determine the 3D position of the windows by plane sweeping in multiple images. Results show potentials and problems of the proposed approach.

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تاریخ انتشار 2006