Jointly learning shape descriptors and their correspondence via deep triplet CNNs

DOI10.1016/j.cagd.2018.03.002OpenAlexW2790508717WikidataQ130114492 ScholiaQ130114492MaRDI QIDQ1644380

Changbo Wang, Mingjia Chen, Hong Qin

Publication date: 21 June 2018

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

Full work available at URL: https://doi.org/10.1016/j.cagd.2018.03.002

zbMATH Keywords

shape descriptorcorrespondencedeep triplet CNNsjointly learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

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Uses Software

• SCAPE
• ImageNet
• AlexNet

Cites Work

• Unnamed Item
• Embedding Riemannian manifolds by their heat kernel
• Diffusion maps
• Learning Deep Architectures for AI
• Numerical Geometry of Non-Rigid Shapes
• Discrete Geometry for Computer Imagery

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