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Automatic Surface Patch Generation from a Video Image Sequence

  • Yixiang Tian
  • Markus Gerke
  • George Vosselman
  • Qing Zhu
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building’s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches’ outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.

Keywords

Point Cloud Surface Patch Parallel Edge Building Facade Reliable Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yixiang Tian
    • 1
  • Markus Gerke
    • 1
  • George Vosselman
    • 1
  • Qing Zhu
    • 2
  1. 1.International Institute for Geo-Information Science and Earth Observation (ITC)The Netherlands
  2. 2.State Key Lab of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityChina

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