Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Understand

Fully exploring correlation among points in point clouds is essential for their feature modeling.

• This paper presents a novel end-to-end graph model, named Point2Node, to represent a given point cloud.
• Point2Node can dynamically explore correlation among all graph nodes from different levels, and adaptively aggregate the learned features.
• Specifically, first, to fully explore the spatial correlation among points for enhanced feature description, in a high-dimensional node graph, we dynamically integrate the node's correlation with self, local, and non-local nodes.