ThickSeg: Efficient semantic segmentation of large-scale 3D point clouds using multi-layer projection

作者：

Highlights：

• Introduce a novel framework for efficient semantic segmentation of point clouds.

• Project raw point clouds into a multi-layer image to leave more details.

• Design a layer adaptive neural network for pixel-wise semantics.

• Determine semantics of occluded points in an iterative and accumulative manner.

摘要

•Introduce a novel framework for efficient semantic segmentation of point clouds.•Project raw point clouds into a multi-layer image to leave more details.•Design a layer adaptive neural network for pixel-wise semantics.•Determine semantics of occluded points in an iterative and accumulative manner.

论文关键词：3D point cloud,Semantic segmentation,Convolutional neural network,Large scale

论文评审过程：Received 9 February 2021, Revised 10 March 2021, Accepted 11 March 2021, Available online 18 March 2021, Version of Record 26 March 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104161