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Article Dans Une Revue ACM Transactions on Graphics Année : 2015

RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes

Résumé

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 being 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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Dates et versions

hal-01498225 , version 1 (29-03-2017)

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Aron Monszpart, Nicolas Mellado, Gabriel J Brostow, Niloy J Mitra. RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes. ACM Transactions on Graphics, 2015, 34, pp.12. ⟨10.1145/2766995⟩. ⟨hal-01498225⟩
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