P2MAT-NET: learning medial axis transform from sparse point clouds

DOI10.1016/j.cagd.2020.101874OpenAlexW3024451790MaRDI QIDQ2187361

Junfeng Yao, Yiling Pan, Tianxiang Pan, Wenping Wang, Baorong Yang, Bin Wang, Xiaohu Guo, Jian-Wei Hu

Publication date: 2 June 2020

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2020.101874

zbMATH Keywords

neural networksmedial axis transformpoint clouds

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Related Items (1)

Visibility-driven skeleton extraction from unstructured points

Uses Software

• CGAL
• Powercrust
• Q-MAT
• Q-MAT+
• PointNet
• PointCNN
• PCPNet

Cites Work

• Surface reconstruction by Voronoi filtering
• Q-MAT+: an error-controllable and feature-sensitive simplification algorithm for medial axis transform
• A benchmark for surface reconstruction
• Screened poisson surface reconstruction

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