Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

Computer Graphics Forum

Volumn 34, Issue 5, 2015, Pages 13-23

  Boscaini, D ^a   Masci, J ^a   Melzi, S ^b   Bronstein, M M ^a,c   Castellani, U ^b   Vandergheynst, P ^d  

^a UNIVERSITY OF LUGANO   (Switzerland)

^b UNIVERSITY OF VERONA   (Italy)

^c INTEL CORPORATION   (Israel)

^d EPFL   (Switzerland)

Author keywords

Categories and Subject Descriptors (according to ACM CCS); Computational Geometry and Object Modeling I.3.5 ; Feature Measurement I.4.7 ; Learning I.2.6

Indexed keywords

COMPUTATIONAL GEOMETRY; CONVOLUTION; NEURAL NETWORKS;

COMPUTATIONAL GEOMETRY AND OBJECT MODELING; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; DESCRIPTORS; FEATURE MEASUREMENT; LEARNING PROCEDURES; LEARNING [I.2.6]; WINDOWED FOURIER TRANSFORMS;

DEFORMATION;

EID: 84946711523     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/cgf.12693     Document Type: Conference Paper

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