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Sphere Packing Aided Surface Reconstruction for Multi-view Data

  • Kun Liu
  • Patricio A. Galindo
  • Rhaleb Zayer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8888)

Abstract

Surface reconstruction has long been targeted at scan data. With the rise of multi-view acquisition, existing surface reconstruction techniques often turn out to be ill adapted to the highly irregular sampling and multilayered aspect of such data. In this paper, a novel surface reconstruction technique is developed to address these new challenges by means of an advancing front guided by a sphere packing methodology. The method is fairly simple and can efficiently triangulate point clouds into high quality meshes. The substantiated experimental results demonstrate the robustness and the generality of the proposed method.

Keywords

Point Cloud Surface Reconstruction Sphere Packing Point Cloud Data Surface Reconstruction Method 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Kun Liu
    • 1
    • 2
  • Patricio A. Galindo
    • 1
  • Rhaleb Zayer
    • 1
  1. 1.InriaVillers-l‘es-NancyFrance
  2. 2.University College LondonUK

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