Unsupervised 3D shape segmentation and co-segmentation via deep learning

DOI10.1016/j.cagd.2016.02.015zbMath1417.65094OpenAlexW2277007198MaRDI QIDQ1632413

Li Wang, Yu Zhang, Chengwu Qi, Chao Hu, Shi-Qing Xin, Li-Gang Liu, Zhen-Yu Shu

Publication date: 14 December 2018

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

Full work available at URL: https://doi.org/10.1016/j.cagd.2016.02.015

zbMATH Keywords

segmentationdeep learning3D shapesco-segmentationhigh-level features

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items (4)

3D shape segmentation using multiple random walkers ⋮ Skeletonization via dual of shape segmentation ⋮ Reverse engineering of CAD models via clustering and approximate implicitization ⋮ Label transfer between images and 3D shapes via local correspondence encoding

Uses Software

• darch

Cites Work

• Unnamed Item
• Reducing the Dimensionality of Data with Neural Networks
• A survey on Mesh Segmentation Techniques
• Shape distributions
• Learning representations by back-propagating errors
• A Fast Learning Algorithm for Deep Belief Nets

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