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RGCNN: Regularized Graph CNN for Point Cloud Segmentation
[article]
2018
arXiv
pre-print
Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques. It has attracted attention in various applications such as 3D tele-presence, navigation for unmanned vehicles and heritage reconstruction. The understanding of point clouds, such as point cloud segmentation, is crucial in exploiting the informative value of point clouds for such applications. Due to the irregularity of the data format, previous deep
arXiv:1806.02952v1
fatcat:fdxhxw3eivcdrlgg2c74a425ua