no code implementations • 20 Apr 2020 • Congcong Wen, Xiang Li, Xiaojing Yao, Ling Peng, Tianhe Chi
To achieve point cloud classification, previous studies proposed point cloud deep learning models that can directly process raw point clouds based on PointNet-like architectures.
1 code implementation • 19 Aug 2019 • Congcong Wen, Lina Yang, Ling Peng, Xiang Li, Tianhe Chi
In this paper, we proposed a directionally constrained fully convolutional neural network (D-FCN) that can take the original 3D coordinates and LiDAR intensity as input; thus, it can directly apply to unstructured 3D point clouds for semantic labeling.