Geodesic Convolutional Neural Networks on Riemannian Manifolds

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015-February, Issue , 2016, Pages 832-840

  Masci, Jonathan ^a   Boscaini, Davide ^a   Bronstein, Michael M ^a   Vandergheynst, Pierre ^b  

^a UNIVERSITY OF LUGANO   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

Eigenvalues and eigenfunctions; Geometry; Heating; Kernel; Manifolds; Neural networks; Shape

Indexed keywords

COMPUTER VISION; CONVOLUTION; COST FUNCTIONS; EIGENVALUES AND EIGENFUNCTIONS; GEODESY; GEOMETRY; MATHEMATICAL OPERATORS;

CONVOLUTIONAL NEURAL NETWORK; EIGENVALUE AND EIGENFUNCTIONS; FEATURE DESCRIPTORS; KERNEL; MANIFOLD; NEURAL-NETWORKS; RIEMANNIAN MANIFOLD; SHAPE; SHAPE CORRESPONDENCES; SHAPE RETRIEVAL;

NEURAL NETWORKS;

EID: 84961988057     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2015.112     Document Type: Conference Paper

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