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Efficient City-Sized 3D Reconstruction from Ultra-High Resolution Aerial and Ground Video Imagery

  • Alexandru N. Vasile
  • Luke J. Skelly
  • Karl Ni
  • Richard Heinrichs
  • Octavia Camps
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)

Abstract

This paper introduces an approach for geo-registered, dense 3D reconstruction of city-sized scenes using a combination of ultra-high resolution aerial and ground video imagery. While 3D reconstructions from ground imagery provide high-detail street-level views of a city, they do not completely cover the entire city scene and might have distortions due to GPS drift. Such a reconstruction can be complemented by aerial imagery to capture missing scene surfaces as well as improve geo-registration. We present a computationally efficient method for 3D reconstruction of city-sized scenes using both aerial and ground video imagery to obtain a more complete and self-consistent geo-registered 3D city model. The reconstruction results of a 1x1km city area, covered with a 66 Mega-pixel airborne system along with a 60 Mega-pixel ground camera system, are presented and validated to geo-register to within 3m to prior airborne-collected LiDAR data.

Keywords

LiDAR Data Iterative Close Point Aerial Imagery Iterative Close Point Algorithm Photo Collection 
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 2011

Authors and Affiliations

  • Alexandru N. Vasile
    • 1
  • Luke J. Skelly
    • 1
  • Karl Ni
    • 1
  • Richard Heinrichs
    • 1
  • Octavia Camps
    • 2
  1. 1.Massachusetts Institute of Technology - Lincoln LaboratoryLexingtonUSA
  2. 2.Dept. of Electrical and Computer EngineeringNortheastern UniversityBostonUSA

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