Learning semantic segmentation of large-scale point clouds with random sampling

We study the problem of efficient semantic segmentation for large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing approaches are only able to be trained and operate over small-scale point clouds. In this paper, we i...

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מידע ביבליוגרפי
Main Authors: Hu, Q, Yang, B, Xie, L, Rosa, S, Guo, Y, Wang, Z, Trigoni, N, Markham, A
פורמט: Journal article
שפה:English
יצא לאור: IEEE 2021