Multi Scale Sparse Convolution Point Cloud Semantic Segmentation Neural Network. (arXiv:2205.01550v1 [cs.CV])

Point clouds have the characteristics of disorder, unstructured and
sparseness.Aiming at the problem of the non-structural nature of point clouds,
thanks to the excellent performance of convolutional neural networks in image
processing, one of the solutions is to extract features from point clouds based
on two-dimensional convolutional neural networks. The three-dimensional
information carried in the point cloud can be converted to two-dimensional, and
then processed by a two-dimensional convolutional neural network, and finally
back-projected to three-dimensional.In the process of projecting …

arxiv cloud convolution cv network neural network scale segmentation semantic