Point Clouds Learning with Attention-based Graph Convolution Networks

Understand

Point clouds data, as one kind of representation of 3D objects, are the most primitive output obtained by 3D sensors.

• Unlike 2D images, point clouds are disordered and unstructured.
• Hence it is not straightforward to apply classification techniques such as the convolution neural network to point clouds analysis directly.
• To solve this problem, we propose a novel network structure, named Attention-based Graph Convolution Networks (AGCN), to extract point clouds features.