2DSlicesNet: A 2D Slice-Based Convolutional Neural Network for 3D Object Retrieval and Classification

2DSlicesNet: A 2D Slice-Based Convolutional Neural Network for 3D Object Retrieval and Classification

3D data can be instrumental to the computer vision field as it provides insightful information about the full 3D models' geometry. Recently, with easy access to both computational power and huge 3D databases, it is feasible to apply convolutional neural networks to automatically extract the 3D...

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Bibliographic Details
Main Authors: Ilyass Ouazzani Taybi, Taoufiq Gadi, Rachid Alaoui
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
2D slices
3D convolutional neural network
3D object classification
3D object retrieval
Online Access:https://ieeexplore.ieee.org/document/9345718/

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