3D object recognition based on volumetric representation using convolutional neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9756, Issue , 2016, Pages 147-156

  Xu, Xiaofan ^a,b   Corrigan, David ^b   Dehghani, Alireza ^a   Caulfield, Sam ^a,b   Moloney, David ^a  

^a Movidius LTD   (Ireland)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

3D digit dataset; 3D object recognition; CNN; Volumetric representation

Indexed keywords

CONVOLUTION; DEFORMATION; IMAGE CLASSIFICATION; NEURAL NETWORKS;

3D DIGIT DATASET; 3D OBJECT RECOGNITION; COMPUTATION COSTS; CONVOLUTIONAL NEURAL NETWORK; LARGE AMOUNTS; MODEL-BASED OPC; TRAINING AND TESTING; VOLUMETRIC REPRESENTATION;

OBJECT RECOGNITION;

EID: 84978245498     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-41778-3_15     Document Type: Conference Paper

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