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Learning to Segment 3D Point Clouds in 2D Image Space

By Yecheng Lyu and others
In contrast to the literature where local patterns in 3D point clouds are captured by customized convolutional operators, in this paper we study the problem of how to effectively and efficiently project such point clouds into a 2D image space so that traditional 2D convolutional neural networks (CNNs) such as... Show more
March 15, 2020
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Learning to Segment 3D Point Clouds in 2D Image Space
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