RAPter: Rebuilding man-made scenes with regular arrangements of planes

Aron Monszpart, Nicolas Mellado, Gabriel J. Brostow, Niloy J. Mitra

Research output: Contribution to journalConference articlepeer-review

81 Scopus citations

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 reconstruction of 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. Copyright is held by the owner/author(s).

Original languageEnglish (US)
Article number103
JournalACM Transactions on Graphics
Volume34
Issue number4
DOIs
StatePublished - Jul 27 2015
EventACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2015 - Los Angeles, United States
Duration: Aug 9 2015Aug 13 2015

Keywords

  • Pointcloud
  • RANSAC
  • Reconstruction
  • Regular arrangement
  • Scene understanding

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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