Interpolated Convolutional Networks for 3D Point Cloud Understanding
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Point cloud is an important type of 3D representation. However, directly applying convolutions on point clouds is challenging due to the sparse, irregular and unordered data structure. In this paper, we propose a novel Interpolated Convolution operation, InterpConv, to tackle the point cloud feature learning and understanding problem. The key …