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A Novel Hierarchical Technique for Range Segmentation of Large Building Exteriors

  • Reyhaneh Hesami
  • Alireza Bab-Hadiashar
  • Reza Hosseinnezhad
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4842)

Abstract

Complex multiple structures, high uncertainty due to the existence of moving objects, and significant disparity in the size of features are the main issues associated with processing range data of outdoor scenes. The existing range segmentation techniques have been commonly developed for laboratory sized objects or simple architectural building features. In this paper, main problems related to the geometrical segmentation of large and significant buildings are studied. A robust and accurate range segmentation approach is also devised to extract very fine geometric details of building exteriors. It uses a hierarchical model-base range segmentation strategy and employs a high breakdown point robust estimator to deal with the existing discrepancies in size and sampling rates of various features of large outdoor objects. The proposed range segmentation algorithm facilitates automatic generation of fine 3D models of environment. The computational advantages and segmentation capabilities of the proposed method are shown using real range data of large building exteriors.

Keywords

Segmentation Algorithm Range Data Range Image Robust Estimator Outdoor Scene 
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 2007

Authors and Affiliations

  • Reyhaneh Hesami
    • 1
  • Alireza Bab-Hadiashar
    • 1
  • Reza Hosseinnezhad
    • 1
  1. 1.Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, VIC 3127Australia

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