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Publication Detail
RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Monszpart A, Mellado N, Brostow GJ, Mitra NJ
  • Publisher:
    Association for Computing Machinery
  • Publication date:
    01/05/2015
  • Journal:
    ACM SIGGRAPH Computer Graphics
  • Editors:
    Barr MJ
  • Country:
    Los Angeles, USA
  • Print ISSN:
    0097-8930
  • Addresses:
    University College London
    London
Abstract
With the proliferation of acquisition devices, gathering massive volumes of 3D data is now easy. Processing such large masses of pointclouds, however, remains a challenge. This is particularly a problem for raw scans with missing data, noise, and varying sampling density. In this work, we present a simple, scalable, yet powerful data reconstruction algorithm. We focus on reconstructing man-made scenes as regular arrangements of planes (RAP), thereby selecting both local plane-based approximations along with their global inter-plane relations. We propose a novel selection formulation to directly balance between data fitting and the simplicity of the resulting arrangement of extracted planes. The main technical contribution is a formulation that allows less-dominant orientations to still retain their internal regularity, and not become overwhelmed and regularized by the dominant scene orientations. We evaluate our approach on a variety of complex 2D and 3D pointclouds, and demonstrate the advantages over existing alternative methods.
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Dept of Computer Science
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