Scalable Surface Reconstruction with Delaunay‐Graph Neural Networks

We introduce a novel learning‐based, visibility‐aware, surface reconstruction method for large‐scale, defect‐laden point clouds. Our approach can cope with the scale and variety of point cloud defects encountered in real‐life Multi‐View Stereo (MVS) acquisitions. Our method relies on a 3D Delaunay t...

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Vydané v:	Computer graphics forum Ročník 40; číslo 5; s. 157 - 167
Hlavní autori:	Sulzer, R., Landrieu, L., Marlet, R., Vallet, B.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.08.2021 Wiley
Edícia:	Eurographics Symposium on Geometry Processing 2021, July 12 – 14, 2021
Predmet:	Algorithms CCS Concepts Computer Science Computing methodologies → Reconstruction Deep learning Graph neural networks Machine learning Neural networks Reconstruction Shape inference Visibility
ISSN:	0167-7055, 1467-8659
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