Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks
This paper proposes a computationally efficient approach to detecting objects natively in 3D point clouds using convolutional neural networks (CNNs). In particular, this is achieved by leveraging a feature-centric voting scheme to implement novel convolutional layers which explicitly exploit the spa...
| Main Authors: | , , , , |
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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