Corpus ID: 215548288

# LightConvPoint: convolution for points

@article{Boulch2020LightConvPointCF,
title={LightConvPoint: convolution for points},
author={Alexandre Boulch and Gilles Puy and Renaud Marlet},
journal={ArXiv},
year={2020},
volume={abs/2004.04462}
}
• Published 2020
• Computer Science
• ArXiv
• Recent state-of-the-art methods for point cloud semantic segmentation are based on convolution defined for point clouds. In this paper, we propose a formulation of the convolution for point cloud directly designed from the discrete convolution in image processing. The resulting formulation underlines the separation between the discrete kernel space and the geometric space where the points lies. The link between the two space is done by a change space matrix $\mathbf{A}$ which distributes the… CONTINUE READING

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