Monszpart, A;
Mellado, N;
Brostow, GJ;
Mitra, NJ;
(2015)
RAPTER: Rebuilding Man-made Scenes with Regular Arrangements of Planes.
ACM Transactions on Graphics
, 34
(4)
, Article 103. 10.1145/2766995.
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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.
| Type: | Article |
|---|---|
| Title: | RAPTER: Rebuilding Man-made Scenes with Regular Arrangements of Planes |
| Location: | Los Angeles, CA |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/2766995 |
| Publisher version: | https://doi.org/10.1145/2766995 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | reconstruction, pointcloud, RANSAC, scene understanding, regular arrangement |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1468716 |
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